{"receipt_id":"agent1-1","seq":1,"branch_id":"agent1","kind":"command","cmd":"git ls-files -z","path":null,"exit_code":0,"stdout_tail":"oc/source/examples/legacy_serialized_pulses/stored_template.json\u0000doc/source/examples/legacy_serialized_pulses/table_template.json\u0000doc/source/examples/parameters/free_induction_decay.json\u0000doc/source/examples/serialized_pulses/S_init.json\u0000doc/source/examples/serialized_pulses/adprep.json\u0000doc/source/examples/serialized_pulses/adread.json\u0000doc/source/examples/serialized_pulses/free_induction_decay.json\u0000doc/source/examples/serialized_pulses/my_other_pulse.json\u0000doc/source/index.rst\u0000doc/source/learners_guide.rst\u0000pylint.rc\u0000pyproject.toml\u0000qctoolkit/__init__.py\u0000qupulse/__init__.py\u0000qupulse/__init__.pyi\u0000qupulse/_program/__init__.py\u0000qupulse/_program/_loop.py\u0000qupulse/_program/seqc.py\u0000qupulse/_program/tabor.py\u0000qupulse/_program/transformation.py\u0000qupulse/_program/volatile.py\u0000qupulse/_program/waveforms.py\u0000qupulse/comparable.py\u0000qupulse/examples/VolatileParameters.py\u0000qupulse/expressions/__init__.py\u0000qupulse/expressions/protocol.py\u0000qupulse/expressions/sympy.py\u0000qupulse/expressions/wrapper.py\u0000qupulse/hardware/__init__.py\u0000qupulse/hardware/awgs/__init__.py\u0000qupulse/hardware/awgs/base.py\u0000qupulse/hardware/awgs/tabor.py\u0000qupulse/hardware/awgs/tektronix.py\u0000qupulse/hardware/awgs/zihdawg.py\u0000qupulse/hardware/dacs/__init__.py\u0000qupulse/hardware/dacs/alazar.py\u0000qupulse/hardware/dacs/alazar2.py\u0000qupulse/hardware/dacs/dac_base.py\u0000qupulse/hardware/feature_awg/__init__.py\u0000qupulse/hardware/feature_awg/base.py\u0000qupulse/hardware/feature_awg/base_features.py\u0000qupulse/hardware/feature_awg/channel_tuple_wrapper.py\u0000qupulse/hardware/feature_awg/features.py\u0000qupulse/hardware/feature_awg/tabor.py\u0000qupulse/hardware/setup.py\u0000qupulse/hardware/util.py\u0000qupulse/parameter_scope.py\u0000qupulse/plotting.py\u0000qupulse/program/__init__.py\u0000qupulse/program/loop.py\u0000qupulse/program/transformation.py\u0000qupulse/program/volatile.py\u0000qupulse/program/waveforms.py\u0000qupulse/pulses/__init__.py\u0000qupulse/pulses/abstract_pulse_template.py\u0000qupulse/pulses/arithmetic_pulse_template.py\u0000qupulse/pulses/constant_pulse_template.py\u0000qupulse/pulses/function_pulse_template.py\u0000qupulse/pulses/interpolation.py\u0000qupulse/pulses/loop_pulse_template.py\u0000qupulse/pulses/mapping_pulse_template.py\u0000qupulse/pulses/measurement.py\u0000qupulse/pulses/multi_channel_pulse_template.py\u0000qupulse/pulses/parameters.py\u0000qupulse/pulses/plotting.py\u0000qupulse/pulses/point_pulse_template.py\u0000qupulse/pulses/pulse_template.py\u0000qupulse/pulses/pulse_template_parameter_mapping.py\u0000qupulse/pulses/range.py\u0000qupulse/pulses/repetition_pulse_template.py\u0000qupulse/pulses/sequence_pulse_template.py\u0000qupulse/pulses/table_pulse_template.py\u0000qupulse/pulses/time_reversal_pulse_template.py\u0000qupulse/serialization.py\u0000qupulse/utils/__init__.py\u0000qupulse/utils/numeric.py\u0000qupulse/utils/performance.py\u0000qupulse/utils/sympy.py\u0000qupulse/utils/tree.py\u0000qupulse/utils/types.py\u0000readthedocs.yml\u0000setup.cfg\u0000setup.py\u0000tests/__init__.py\u0000tests/_program/__init__.py\u0000tests/_program/loop_tests.py\u0000tests/_program/seqc_tests.py\u0000tests/_program/tabor_tests.py\u0000tests/_program/transformation_tests.py\u0000tests/_program/waveforms_tests.py\u0000tests/backward_compatibility/__init__.py\u0000tests/backward_compatibility/charge_scan_1/binary_program_validation.json\u0000tests/backward_compatibility/charge_scan_1/binary_program_validation.py\u0000tests/backward_compatibility/charge_scan_1/channel_mapping.json\u0000tests/backward_compatibility/charge_scan_1/hdawg_preparation_commands.json\u0000tests/backward_compatibility/charge_scan_1/measurement_mapping.json\u0000tests/backward_compatibility/charge_scan_1/parameters.json\u0000tests/backward_compatibility/charge_scan_1/pulse_storage/charge_scan.json\u0000tests/backward_compatibility/charge_scan_1/pulse_storage_converted_2018/charge_scan.json\u0000tests/backward_compatibility/charge_scan_1/tabor_preparation_commands.json\u0000tests/backward_compatibility/hardware_test_helper.py\u0000tests/backward_compatibility/tabor_backward_compatibility_tests.py\u0000tests/backward_compatibility/zhinst_charge_scan_test.py\u0000tests/comparable_tests.py\u0000tests/expressions/__init__.py\u0000tests/expressions/expression_tests.py\u0000tests/hardware/__init__.py\u0000tests/hardware/alazar_tests.py\u0000tests/hardware/base_tests.py\u0000tests/hardware/dummy_devices.py\u0000tests/hardware/dummy_modules.py\u0000tests/hardware/feature_awg/__init__.py\u0000tests/hardware/feature_awg/awg_new_driver_base_tests.py\u0000tests/hardware/feature_awg/channel_tuple_wrapper_tests.py\u0000tests/hardware/feature_awg/tabor_new_driver_clock_tests.py\u0000tests/hardware/feature_awg/tabor_new_driver_exex_test.py\u0000tests/hardware/feature_awg/tabor_new_driver_simulator_based_tests.py\u0000tests/hardware/feature_awg/tabor_new_driver_tests.py\u0000tests/hardware/setup_tests.py\u0000tests/hardware/tabor_clock_tests.py\u0000tests/hardware/tabor_dummy_based_tests.py\u0000tests/hardware/tabor_exex_test.py\u0000tests/hardware/tabor_simulator_based_tests.py\u0000tests/hardware/tabor_tests.py\u0000tests/hardware/tektronix_tests.py\u0000tests/hardware/util_tests.py\u0000tests/hardware/zihdawg_tests.py\u0000tests/parameter_scope_tests.py\u0000tests/pulses/__init__.py\u0000tests/pulses/abstract_pulse_template_tests.py\u0000tests/pulses/arithmetic_pulse_template_tests.py\u0000tests/pulses/bug_tests.py\u0000tests/pulses/constant_pulse_template_tests.py\u0000tests/pulses/function_pulse_tests.py\u0000tests/pulses/interpolation_tests.py\u0000tests/pulses/loop_pulse_template_tests.py\u0000tests/pulses/mapping_pulse_template_tests.py\u0000tests/pulses/measurement_tests.py\u0000tests/pulses/multi_channel_pulse_template_tests.py\u0000tests/pulses/parameters_tests.py\u0000tests/pulses/plotting_tests.py\u0000tests/pulses/point_pulse_template_tests.py\u0000tests/pulses/pulse_template_parameter_mapping_tests.py\u0000tests/pulses/pulse_template_tests.py\u0000tests/pulses/repetition_pulse_template_tests.py\u0000tests/pulses/sequence_pulse_template_tests.py\u0000tests/pulses/sequencing_dummies.py\u0000tests/pulses/table_pulse_template_tests.py\u0000tests/pulses/time_reversal_pulse_template_tests.py\u0000tests/qctoolkit_alias_tests.py\u0000tests/serialization_dummies.py\u0000tests/serialization_tests.py\u0000tests/utils/__init__.py\u0000tests/utils/numeric_tests.py\u0000tests/utils/performance_tests.py\u0000tests/utils/sympy_tests.py\u0000tests/utils/time_type_tests.py\u0000tests/utils/tree_tests.py\u0000tests/utils/types_tests.py\u0000tests/utils/utils_tests.py\u0000","stderr_tail":"","stdout_sha256":"f2cce3df057f07bc8c4f8d07e091e4b1da7db011cde13cc7b9f12fc665df53b3","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-1.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:50:47.345372Z","duration_s":0.004221,"timed_out":false,"image_before":"f663ec11-f5c1-4eb9-a2f7-a87d7f27ce75","image_after":"02f1b33c-9761-4147-af18-4d5d6555e903","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-2","seq":2,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && grep -rn \"find_place_for_segments_in_memory\" --include=\"*.py\"","path":null,"exit_code":0,"stdout_tail":"build/lib/qupulse/_program/tabor.py:732:def find_place_for_segments_in_memory(\nbuild/lib/qupulse/hardware/awgs/tabor.py:18: make_combined_wave, find_place_for_segments_in_memory\nbuild/lib/qupulse/hardware/awgs/tabor.py:503: waveform_to_segment, to_amend, to_insert = self._find_place_for_segments_in_memory(segments,\nbuild/lib/qupulse/hardware/awgs/tabor.py:545: def _find_place_for_segments_in_memory(self, segments: Sequence, segment_lengths: Sequence) -> Tuple[np.ndarray, np.ndarray, np.ndarray]:\nbuild/lib/qupulse/hardware/awgs/tabor.py:548: return find_place_for_segments_in_memory(\nbuild/lib/qupulse/hardware/feature_awg/tabor.py:630: waveform_to_segment, to_amend, to_insert = self._channel_tuple._find_place_for_segments_in_memory(segments,\nbuild/lib/qupulse/hardware/feature_awg/tabor.py:1044: def _find_place_for_segments_in_memory(self, segments: Sequence, segment_lengths: np.ndarray) -> \\\nqupulse/_program/tabor.py:732:def find_place_for_segments_in_memory(\nqupulse/hardware/awgs/tabor.py:18: make_combined_wave, find_place_for_segments_in_memory\nqupulse/hardware/awgs/tabor.py:503: waveform_to_segment, to_amend, to_insert = self._find_place_for_segments_in_memory(segments,\nqupulse/hardware/awgs/tabor.py:545: def _find_place_for_segments_in_memory(self, segments: Sequence, segment_lengths: Sequence) -> Tuple[np.ndarray, np.ndarray, np.ndarray]:\nqupulse/hardware/awgs/tabor.py:548: return find_place_for_segments_in_memory(\nqupulse/hardware/feature_awg/tabor.py:630: waveform_to_segment, to_amend, to_insert = self._channel_tuple._find_place_for_segments_in_memory(segments,\nqupulse/hardware/feature_awg/tabor.py:1044: def _find_place_for_segments_in_memory(self, segments: Sequence, segment_lengths: np.ndarray) -> \\\ntests/_program/tabor_tests.py:19:from qupulse._program.tabor import TaborException, TaborProgram, find_place_for_segments_in_memory,\\\ntests/_program/tabor_tests.py:730: def test_find_place_for_segments_in_memory(self):\ntests/_program/tabor_tests.py:743: w2s, ta, ti = find_place_for_segments_in_memory(\ntests/_program/tabor_tests.py:757: w2s, ta, ti = find_place_for_segments_in_memory(new_segment_hashes=segments, new_segment_lengths=segment_lengths, **kwargs)\ntests/_program/tabor_tests.py:769: w2s, ta, ti = find_place_for_segments_in_memory(new_segment_hashes=segments, new_segment_lengths=segment_lengths, **kwargs)\ntests/_program/tabor_tests.py:781: w2s, ta, ti = find_place_for_segments_in_memory(new_segment_hashes=segments, new_segment_lengths=segment_lengths, **kwargs)\ntests/_program/tabor_tests.py:793: w2s, ta, ti = find_place_for_segments_in_memory(new_segment_hashes=segments, new_segment_lengths=segment_lengths, **kwargs)\ntests/_program/tabor_tests.py:808: w2s, ta, ti = find_place_for_segments_in_memory(new_segment_hashes=segments, new_segment_lengths=segment_lengths, **kwargs)\ntests/hardware/tabor_dummy_based_tests.py:382: channel_pair._find_place_for_segments_in_memory = dummy_find_place\n","stderr_tail":"","stdout_sha256":"771452199dd63fe85cb341f59e2d7592d0f4ddfa31f14ae7e333e614a2c4a57c","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-2.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:51:07.264624Z","duration_s":0.011904999999999999,"timed_out":false,"image_before":"02f1b33c-9761-4147-af18-4d5d6555e903","image_after":"8acf33ee-8688-4519-a4ce-13f882b8cb5b","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-3","seq":3,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && sed -n '155,175p' qupulse/_program/tabor.py","path":null,"exit_code":0,"stdout_tail":"\n @classmethod\n def from_binary_segment(cls, segment_data: np.ndarray) -> 'TaborSegment':\n return cls(data=segment_data.reshape((-1, 2, 16)))\n\n @property\n def ch_a(self):\n return np.bitwise_and(self.data_a, self.CHANNEL_MASK)\n\n @property\n def ch_b(self):\n return self.data_b\n\n @property\n def marker_a(self) -> np.ndarray:\n marker_data = self._marker_data_view(self._data, writable=False)\n return np.bitwise_and(marker_data, self.MARKER_A_MASK).astype(bool).reshape(-1)\n\n @property\n def marker_b(self) -> np.ndarray:\n marker_data = self._marker_data_view(self._data, writable=False)\n","stderr_tail":"","stdout_sha256":"992566a952e1ce5e08278a11cf17b553a88261ec32c7f3cdbbe668dea07148ac","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-3.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:51:28.212399Z","duration_s":0.0029909999999999997,"timed_out":false,"image_before":"8acf33ee-8688-4519-a4ce-13f882b8cb5b","image_after":"327f19fd-b75e-40ac-b1e7-d60241ffacb7","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-4","seq":4,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && sed -n '165,185p' qupulse/_program/tabor.py","path":null,"exit_code":0,"stdout_tail":" def ch_b(self):\n return self.data_b\n\n @property\n def marker_a(self) -> np.ndarray:\n marker_data = self._marker_data_view(self._data, writable=False)\n return np.bitwise_and(marker_data, self.MARKER_A_MASK).astype(bool).reshape(-1)\n\n @property\n def marker_b(self) -> np.ndarray:\n marker_data = self._marker_data_view(self._data, writable=False)\n return np.bitwise_and(marker_data, self.MARKER_B_MASK).astype(bool).reshape(-1)\n\n @classmethod\n def from_binary_data(cls, data_a: np.ndarray, data_b: np.ndarray) -> 'TaborSegment':\n assert data_a.size == data_b.size\n assert data_a.ndim == 1 == data_b.ndim\n assert data_a.size % 16 == 0\n\n data = np.empty((data_a.size // 16, 2, 16), dtype=np.uint16)\n cls._data_a_view(data, writable=True)[:] = data_a.reshape((-1, 16))\n","stderr_tail":"","stdout_sha256":"87107e87792a595b8866db6dd4f744c02d3a56f742c6b7ee0c4f118f83e5bd26","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-4.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:51:30.115438Z","duration_s":0.0031320000000000002,"timed_out":false,"image_before":"327f19fd-b75e-40ac-b1e7-d60241ffacb7","image_after":"b01eeb23-f7d1-4a51-99c7-ae2d75df1e0b","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-5","seq":5,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && grep -n \"_calc_sampled_segments\" qupulse/_program/tabor.py","path":null,"exit_code":0,"stdout_tail":"432: self._sampled_segments = self._calc_sampled_segments()\n466: def _calc_sampled_segments(self) -> Tuple[Sequence[TaborSegment], Sequence[int]]:\n","stderr_tail":"","stdout_sha256":"978bcb3461bb08b26a529c4ea21d30109d28eed611a46babeb5fc3c9ee62814b","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-5.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:51:32.744544Z","duration_s":0.003992,"timed_out":false,"image_before":"b01eeb23-f7d1-4a51-99c7-ae2d75df1e0b","image_after":"5d7140ae-9877-4b3c-b62c-3e90edb06418","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-6","seq":6,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && sed -n '466,495p' qupulse/_program/tabor.py","path":null,"exit_code":0,"stdout_tail":" def _calc_sampled_segments(self) -> Tuple[Sequence[TaborSegment], Sequence[int]]:\n \"\"\"\n Returns:\n (segments, segment_lengths)\n \"\"\"\n time_array, segment_lengths = get_sample_times(self._parsed_program.waveforms, self._sample_rate)\n\n if np.any(segment_lengths % 16 > 0) or np.any(segment_lengths < 192):\n raise TaborException('At least one waveform has a length that is smaller 192 or not a multiple of 16')\n\n segments = []\n for i, waveform in enumerate(self._parsed_program.waveforms):\n t = time_array[:segment_lengths[i]]\n marker_time = t[::2]\n segment_a = self._channel_data(waveform, t, 0)\n segment_b = self._channel_data(waveform, t, 1)\n assert (len(segment_a) == len(t))\n assert (len(segment_b) == len(t))\n marker_a = self._marker_data(waveform, marker_time, 0)\n marker_b = self._marker_data(waveform, marker_time, 1)\n segment = TaborSegment.from_sampled(ch_a=segment_a,\n ch_b=segment_b,\n marker_a=marker_a,\n marker_b=marker_b)\n segments.append(segment)\n return segments, segment_lengths\n\n def setup_single_sequence_mode(self) -> None:\n assert self.program.depth() == 1\n assert self.program.is_balanced()\n","stderr_tail":"","stdout_sha256":"f8dcda832719c2abe441d33c1c8ed1bd0d9a3815fd82bcfd23e3c5541e6bcc67","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-6.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:51:35.353502Z","duration_s":0.003491,"timed_out":false,"image_before":"5d7140ae-9877-4b3c-b62c-3e90edb06418","image_after":"542ea647-34e8-4457-af02-34a81fd2d7e9","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-7","seq":7,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 -c \"\nwith open('qupulse/_program/tabor.py', 'r') as f:\n lines = f.readlines()\n for i, line in enumerate(lines[465:495], start=466):\n print(f'{i}: {repr(line)}')\"","path":null,"exit_code":0,"stdout_tail":"466: ' def _calc_sampled_segments(self) -> Tuple[Sequence[TaborSegment], Sequence[int]]:\\n'\n467: ' \"\"\"\\n'\n468: ' Returns:\\n'\n469: ' (segments, segment_lengths)\\n'\n470: ' \"\"\"\\n'\n471: ' time_array, segment_lengths = get_sample_times(self._parsed_program.waveforms, self._sample_rate)\\n'\n472: '\\n'\n473: ' if np.any(segment_lengths % 16 > 0) or np.any(segment_lengths < 192):\\n'\n474: \" raise TaborException('At least one waveform has a length that is smaller 192 or not a multiple of 16')\\n\"\n475: '\\n'\n476: ' segments = []\\n'\n477: ' for i, waveform in enumerate(self._parsed_program.waveforms):\\n'\n478: ' t = time_array[:segment_lengths[i]]\\n'\n479: ' marker_time = t[::2]\\n'\n480: ' segment_a = self._channel_data(waveform, t, 0)\\n'\n481: ' segment_b = self._channel_data(waveform, t, 1)\\n'\n482: ' assert (len(segment_a) == len(t))\\n'\n483: ' assert (len(segment_b) == len(t))\\n'\n484: ' marker_a = self._marker_data(waveform, marker_time, 0)\\n'\n485: ' marker_b = self._marker_data(waveform, marker_time, 1)\\n'\n486: ' segment = TaborSegment.from_sampled(ch_a=segment_a,\\n'\n487: ' ch_b=segment_b,\\n'\n488: ' marker_a=marker_a,\\n'\n489: ' marker_b=marker_b)\\n'\n490: ' segments.append(segment)\\n'\n491: ' return segments, segment_lengths\\n'\n492: '\\n'\n493: ' def setup_single_sequence_mode(self) -> None:\\n'\n494: ' assert self.program.depth() == 1\\n'\n495: ' assert self.program.is_balanced()\\n'\n","stderr_tail":"","stdout_sha256":"7292215f0e90bb11c7ca1cfd030520500dd3aa408cb49a00e7b54aafaa9194ad","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-7.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:51:43.609112Z","duration_s":0.013977,"timed_out":false,"image_before":"542ea647-34e8-4457-af02-34a81fd2d7e9","image_after":"5b8f1185-0b59-453b-9327-198bf5580e6a","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-8","seq":8,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 -c \"\nwith open('qupulse/_program/tabor.py', 'r') as f:\n content = f.read()\n\n# Find and replace the function\nold_func = ''' def _calc_sampled_segments(self) -> Tuple[Sequence[TaborSegment], Sequence[int]]:\n \\\"\\\"\\\"\n Returns:\n (segments, segment_lengths)\n \\\"\\\"\\\"\n time_array, segment_lengths = get_sample_times(self._parsed_program.waveforms, self._sample_rate)\n\n if np.any(segment_lengths % 16 > 0) or np.any(segment_lengths < 192):\n raise TaborException('At least one waveform has a length that is smaller 192 or not a multiple of 16')\n\n segments = []\n for i, waveform in enumerate(self._parsed_program.waveforms):\n t = time_array[:segment_lengths[i]]\n marker_time = t[::2]\n segment_a = self._channel_data(waveform, t, 0)\n segment_b = self._channel_data(waveform, t, 1)\n assert (len(segment_a) == len(t))\n assert (len(segment_b) == len(t))\n marker_a = self._marker_data(waveform, marker_time, 0)\n marker_b = self._marker_data(waveform, marker_time, 1)\n segment = TaborSegment.from_sampled(ch_a=segment_a,\n ch_b=segment_b,\n marker_a=marker_a,\n marker_b=marker_b)\n segments.append(segment)\n return segments, segment_lengths'''\n\nnew_func = ''' def _calc_sampled_segments(self) -> Tuple[Sequence[TaborSegment], Sequence[int]]:\n \\\"\\\"\\\"\n Returns:\n (segments, segment_lengths)\n \\\"\\\"\\\"\n time_array, segment_lengths = get_sample_times(self._parsed_program.waveforms, self._sample_rate)\n\n if np.any(segment_lengths % 16 > 0) or np.any(segment_lengths < 192):\n raise TaborException('At least one waveform has a length that is smaller 192 or not a multiple of 16')\n\n # Deduplicate segments by their hash to avoid uploading identical waveforms multiple times\n segments = []\n segment_hashes = []\n seen_hash_to_index = {}\n \n for i, waveform in enumerate(self._parsed_program.waveforms):\n t = time_array[:segment_lengths[i]]\n marker_time = t[::2]\n segment_a = self._channel_data(waveform, t, 0)\n segment_b = self._channel_data(waveform, t, 1)\n assert (len(segment_a) == len(t))\n assert (len(segment_b) == len(t))\n marker_a = self._marker_data(waveform, marker_time, 0)\n marker_b = self._marker_data(waveform, marker_time, 1)\n segment = TaborSegment.from_sampled(ch_a=segment_a,\n ch_b=segment_b,\n marker_a=marker_a,\n marker_b=marker_b)\n segment_hash = segment._hash\n if segment_hash not in seen_hash_to_index:\n seen_hash_to_index[segment_hash] = len(segments)\n segments.append(segment)\n segment_hashes.append(segment_hash)\n # If hash already seen, we skip adding the segment to avoid redundancy\n\n # Recalculate segment_lengths to only include unique segments in order of first appearance\n unique_segment_indices = []\n for i, waveform in enumerate(self._parsed_program.waveforms):\n t = time_array[:segment_lengths[i]]\n marker_time = t[::2]\n segment_a = self._channel_data(waveform, t, 0)\n segment_b = self._channel_data(waveform, t, 1)\n marker_a = self._marker_data(waveform, marker_time, 0)\n marker_b = self._marker_data(waveform, marker_time, 1)\n segment = TaborSegment.from_sampled(ch_a=segment_a,\n ch_b=segment_b,\n marker_a=marker_a,\n marker_b=marker_b)\n segment_hash = segment._hash\n if segment_hash in seen_hash_to_index:\n unique_segment_indices.append(seen_hash_to_index[segment_hash])\n else:\n # This case should not happen as we add all hashes above, but handle it just in case\n unique_segment_indices.append(len(segments))\n seen_hash_to_index[segment_hash] = len(segments)\n segments.append(segment)\n segment_hashes.append(segment_hash)\n\n # Build new segment_lengths based on unique segments\n unique_lengths = np.array([segment_lengths[idx] for idx in unique_segment_indices], dtype=np.int64)\n\n return segments, unique_lengths'''\n\nif old_func in content:\n content = content.replace(old_func, new_func)\n with open('qupulse/_program/tabor.py', 'w') as f:\n f.write(content)\n print('Replacement successful')\nelse:\n print('Old function not found')\n # Let's debug\n import re\n match = re.search(r'def _calc_sampled_segments.*?return segments, segment_lengths', content, re.DOTALL)\n if match:\n print('Found:', match.group()[:200])\n else:\n print('No match found')\n\"","path":null,"exit_code":0,"stdout_tail":"Old function not found\nFound: def _calc_sampled_segments(self) -> Tuple[Sequence[TaborSegment], Sequence[int]]:\n \"\"\"\n Returns:\n (segments, segment_lengths)\n \"\"\"\n time_array, segment_lengths =\n","stderr_tail":"","stdout_sha256":"6b004078fec8ddcf3bf7946e46c35cf473661dcb137691d3df2b738666eeb405","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-8.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:51:55.066611Z","duration_s":0.018172,"timed_out":false,"image_before":"5b8f1185-0b59-453b-9327-198bf5580e6a","image_after":"24f227fc-8bd5-477e-bfa2-a0d04cd212d3","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-9","seq":9,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 << 'EOF'\nwith open('qupulse/_program/tabor.py', 'r') as f:\n lines = f.readlines()\n\n# Find the line numbers for the function\nstart_line = None\nend_line = None\nfor i, line in enumerate(lines):\n if 'def _calc_sampled_segments' in line:\n start_line = i\n if start_line is not None and start_line < i and 'return segments, segment_lengths' in line:\n end_line = i\n break\n\nprint(f\"Function starts at line {start_line + 1}\")\nprint(f\"Function ends at line {end_line + 1}\")\n\n# Replace the function body\nnew_lines = lines[:start_line]\n\nnew_func = ''' def _calc_sampled_segments(self) -> Tuple[Sequence[TaborSegment], Sequence[int]]:\n \\\"\\\"\\\"\n Returns:\n (segments, segment_lengths)\n \\\"\\\"\\\"\n time_array, segment_lengths = get_sample_times(self._parsed_program.waveforms, self._sample_rate)\n\n if np.any(segment_lengths % 16 > 0) or np.any(segment_lengths < 192):\n raise TaborException('At least one waveform has a length that is smaller 192 or not a multiple of 16')\n\n # Deduplicate segments by their hash to avoid uploading identical waveforms multiple times\n segments = []\n segment_hashes = []\n seen_hash_to_index = {}\n \n for i, waveform in enumerate(self._parsed_program.waveforms):\n t = time_array[:segment_lengths[i]]\n marker_time = t[::2]\n segment_a = self._channel_data(waveform, t, 0)\n segment_b = self._channel_data(waveform, t, 1)\n assert (len(segment_a) == len(t))\n assert (len(segment_b) == len(t))\n marker_a = self._marker_data(waveform, marker_time, 0)\n marker_b = self._marker_data(waveform, marker_time, 1)\n segment = TaborSegment.from_sampled(ch_a=segment_a,\n ch_b=segment_b,\n marker_a=marker_a,\n marker_b=marker_b)\n segment_hash = segment._hash\n if segment_hash not in seen_hash_to_index:\n seen_hash_to_index[segment_hash] = len(segments)\n segments.append(segment)\n segment_hashes.append(segment_hash)\n # If hash already seen, we skip adding the segment to avoid redundancy\n\n # Recalculate segment_lengths to only include unique segments in order of first appearance\n unique_segment_indices = []\n for i, waveform in enumerate(self._parsed_program.waveforms):\n t = time_array[:segment_lengths[i]]\n marker_time = t[::2]\n segment_a = self._channel_data(waveform, t, 0)\n segment_b = self._channel_data(waveform, t, 1)\n marker_a = self._marker_data(waveform, marker_time, 0)\n marker_b = self._marker_data(waveform, marker_time, 1)\n segment = TaborSegment.from_sampled(ch_a=segment_a,\n ch_b=segment_b,\n marker_a=marker_a,\n marker_b=marker_b)\n segment_hash = segment._hash\n if segment_hash in seen_hash_to_index:\n unique_segment_indices.append(seen_hash_to_index[segment_hash])\n else:\n # This case should not happen as we add all hashes above, but handle it just in case\n unique_segment_indices.append(len(segments))\n seen_hash_to_index[segment_hash] = len(segments)\n segments.append(segment)\n segment_hashes.append(segment_hash)\n\n # Build new segment_lengths based on unique segments\n unique_lengths = np.array([segment_lengths[idx] for idx in unique_segment_indices], dtype=np.int64)\n\n return segments, unique_lengths'''\n\nnew_lines.extend([new_func, '\\n'])\nnew_lines.extend(lines[end_line + 1:])\n\nwith open('qupulse/_program/tabor.py', 'w') as f:\n f.writelines(new_lines)\n\nprint(\"Replacement done\")\nEOF","path":null,"exit_code":0,"stdout_tail":"Function starts at line 466\nFunction ends at line 491\nReplacement done\n","stderr_tail":"","stdout_sha256":"7a72081a85ef1433a329c7b9c96a6c201efa51603653ff2c6bc246ec7d08cc97","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-9.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:52:03.341947Z","duration_s":0.01337,"timed_out":false,"image_before":"24f227fc-8bd5-477e-bfa2-a0d04cd212d3","image_after":"9ebbc724-08aa-4b16-a476-99ef947a3d2e","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-10","seq":10,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 -m pytest tests/_program/tabor_tests.py::TaborProgramTests::test_calc_sampled_segments_deduplication -xvs 2>&1","path":null,"exit_code":1,"stdout_tail":"============================= test session starts ==============================\nplatform linux -- Python 3.10.19, pytest-9.0.2, pluggy-1.6.0 -- /usr/local/bin/python3\ncachedir: .pytest_cache\nbenchmark: 5.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nrootdir: /qupulse\nconfigfile: setup.cfg\nplugins: benchmark-5.2.3\ncollecting ... collected 1 item\n\ntests/_program/tabor_tests.py::TaborProgramTests::test_calc_sampled_segments_deduplication FAILED\n\n=================================== FAILURES ===================================\n__________ TaborProgramTests.test_calc_sampled_segments_deduplication __________\n\nself = \n\n def test_calc_sampled_segments_deduplication(self):\n wf1 = ConstantWaveform(duration=2, amplitude=0.1, channel='A')\n wf2 = SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n )\n wf3 = ConstantWaveform(duration=1, amplitude=0.2, channel='A')\n \n loop = Loop(children=[\n Loop(waveform=wf1),\n Loop(waveform=wf2),\n Loop(waveform=wf3),\n ])\n prog = TaborProgram(loop, self.instr_props, ('A', None), (None, None), **self.program_entry_kwargs)\n sampled, sampled_length = prog.get_sampled_segments()\n self.assertEqual(len(sampled), 2)\n> self.assertEqual([192 * 2, 192], list(sampled_length))\nE AssertionError: Lists differ: [384, 192] != [np.int64(384), np.int64(384), np.int64(384)]\nE \nE First differing element 1:\nE 192\nE np.int64(384)\nE \nE Second list contains 1 additional elements.\nE First extra element 2:\nE np.int64(384)\nE \nE - [384, 192]\nE + [np.int64(384), np.int64(384), np.int64(384)]\n\ntests/_program/tabor_tests.py:400: AssertionError\n=============================== warnings summary ===============================\nqupulse/utils/types.py:36\n /qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n\nqupulse/utils/sympy.py:26\n /qupulse/qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nFAILED tests/_program/tabor_tests.py::TaborProgramTests::test_calc_sampled_segments_deduplication\n!!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!!\n======================== 1 failed, 2 warnings in 0.94s =========================\n","stderr_tail":"","stdout_sha256":"f52829cd156d39302b55ac7f432dce0a09defc600535dc27f44e56503622d02c","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-10.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:52:05.841708Z","duration_s":1.256521,"timed_out":false,"image_before":"9ebbc724-08aa-4b16-a476-99ef947a3d2e","image_after":"1a59cfbd-437c-4e41-a355-aabd1ca04e18","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-11","seq":11,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 << 'EOF'\nimport numpy as np\nfrom qupulse._program.tabor import TaborSegment\nfrom qupulse.program.waveforms import ConstantWaveform, SubsetWaveform\nfrom unittest import mock\nfrom qupulse.utils.types import TimeType, FrozenDict\nfrom qupulse.parameter_scope import DictScope\nfrom qupulse.expressions import ExpressionScalar\nfrom qupulse.program.loop import Loop\nfrom qupulse.hardware.awgs.tabor import model_properties_dict\n\ninstr_props = model_properties_dict['WX2184C'].copy()\n\nwaveform_data_generator = __import__('itertools').cycle([np.linspace(-0.5, 0.5, num=192),\n np.concatenate((np.linspace(-0.5, 0.5, num=96),\n np.linspace(0.5, -0.5, num=96))),\n -0.5*np.cos(np.linspace(0, 2*np.pi, num=192))])\n\nwaveform_data_generator2 = __import__('itertools').cycle([ConstantWaveform(duration=2, amplitude=0.1, channel='A'),\n SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n ),\n ConstantWaveform(duration=1, amplitude=0.2, channel='A')])\n\nfrom tests.pulses.sequencing_dummies import WaveformGenerator\n\nroot_loop = __import__('tests._program.loop_tests').LoopTests.get_test_loop(WaveformGenerator(num_channels=2,\n waveform_data_generator=waveform_data_generator2,\n duration_generator=__import__('itertools').repeat(1)))\n\nprog = root_loop\n\n# Let's manually check the waveforms\nwf1 = ConstantWaveform(duration=2, amplitude=0.1, channel='A')\nwf2 = SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n)\nwf3 = ConstantWaveform(duration=1, amplitude=0.2, channel='A')\n\nprint(f\"wf1 duration: {wf1.duration}\")\nprint(f\"wf2 duration: {wf2.duration}\")\nprint(f\"wf3 duration: {wf3.duration}\")\n\n# Check compare_key\nprint(f\"wf1.compare_key: {wf1.compare_key}\")\nprint(f\"wf2.compare_key: {wf2.compare_key}\")\nprint(f\"wf3.compare_key: {wf3.compare_key}\")\n\n# Check if they have the same data when sampled\nt = np.array([0, 1]) # simple times\nsampled_a1 = wf1.unsafe_sample('A', t)\nsampled_a2 = wf2.unsafe_sample('A', t)\nsampled_a3 = wf3.unsafe_sample('A', t)\n\nprint(f\"wf1 sampled A: {sampled_a1}\")\nprint(f\"wf2 sampled A: {sampled_a2}\")\nprint(f\"wf3 sampled A: {sampled_a3}\")\n\nprint(f\"wf1 sampled A == wf2 sampled A: {np.array_equal(sampled_a1, sampled_a2)}\")\nprint(f\"wf1 sampled A == wf3 sampled A: {np.array_equal(sampled_a1, sampled_a3)}\")\n\n# Check TaborSegment hashes\nseg1 = TaborSegment.from_sampled(ch_a=sampled_a1, ch_b=None, marker_a=None, marker_b=None)\nseg2 = TaborSegment.from_sampled(ch_a=sampled_a2, ch_b=None, marker_a=None, marker_b=None)\nseg3 = TaborSegment.from_sampled(ch_a=sampled_a3, ch_b=None, marker_a=None, marker_b=None)\n\nprint(f\"seg1._hash: {seg1._hash}\")\nprint(f\"seg2._hash: {seg2._hash}\")\nprint(f\"seg3._hash: {seg3._hash}\")\n\nprint(f\"seg1 == seg2: {seg1 == seg2}\")\nprint(f\"seg1 == seg3: {seg1 == seg3}\")\nEOF","path":null,"exit_code":1,"stdout_tail":"","stderr_tail":"/qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n/qupulse/qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\nTraceback (most recent call last):\n File \"\", line 9, in \nImportError: cannot import name 'model_properties_dict' from 'qupulse.hardware.awgs.tabor' (/qupulse/qupulse/hardware/awgs/tabor.py)\n","stdout_sha256":"9600e164ec16a43d83507b192a91806c04e19625de15769823a71449257327e7","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-11.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:52:15.767964Z","duration_s":0.731046,"timed_out":false,"image_before":"1a59cfbd-437c-4e41-a355-aabd1ca04e18","image_after":"58a28e67-0e50-4a8d-9c42-bd6871a09208","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-12","seq":12,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 << 'EOF'\nimport numpy as np\nfrom qupulse._program.tabor import TaborSegment\nfrom qupulse.program.waveforms import ConstantWaveform, SubsetWaveform\nfrom unittest import mock\nfrom qupulse.utils.types import TimeType, FrozenDict\nfrom qupulse.parameter_scope import DictScope\nfrom qupulse.expressions import ExpressionScalar\nfrom qupulse.program.loop import Loop\nfrom tests.pulses.sequencing_dummies import WaveformGenerator\nfrom tests._program.loop_tests import LoopTests\n\nwaveform_data_generator = __import__('itertools').cycle([np.linspace(-0.5, 0.5, num=192),\n np.concatenate((np.linspace(-0.5, 0.5, num=96),\n np.linspace(0.5, -0.5, num=96))),\n -0.5*np.cos(np.linspace(0, 2*np.pi, num=192))])\n\nwaveform_data_generator2 = __import__('itertools').cycle([ConstantWaveform(duration=2, amplitude=0.1, channel='A'),\n SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n ),\n ConstantWaveform(duration=1, amplitude=0.2, channel='A')])\n\nroot_loop = LoopTests.get_test_loop(WaveformGenerator(num_channels=2,\n waveform_data_generator=waveform_data_generator2,\n duration_generator=__import__('itertools').repeat(1)))\n\n# Let's manually check the waveforms\nwf1 = ConstantWaveform(duration=2, amplitude=0.1, channel='A')\nwf2 = SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n)\nwf3 = ConstantWaveform(duration=1, amplitude=0.2, channel='A')\n\nprint(f\"wf1 duration: {wf1.duration}\")\nprint(f\"wf2 duration: {wf2.duration}\")\nprint(f\"wf3 duration: {wf3.duration}\")\n\n# Check compare_key\nprint(f\"wf1.compare_key: {wf1.compare_key}\")\nprint(f\"wf2.compare_key: {wf2.compare_key}\")\nprint(f\"wf3.compare_key: {wf3.compare_key}\")\n\n# Check if they have the same data when sampled\nt = np.array([0, 1, 2, 3, 4, 5]) # simple times\nsampled_a1 = wf1.unsafe_sample('A', t)\nsampled_a2 = wf2.unsafe_sample('A', t)\nsampled_a3 = wf3.unsafe_sample('A', t)\n\nprint(f\"wf1 sampled A: {sampled_a1}\")\nprint(f\"wf2 sampled A: {sampled_a2}\")\nprint(f\"wf3 sampled A: {sampled_a3}\")\n\nprint(f\"wf1 sampled A == wf2 sampled A: {np.array_equal(sampled_a1, sampled_a2)}\")\nprint(f\"wf1 sampled A == wf3 sampled A: {np.array_equal(sampled_a1, sampled_a3)}\")\n\n# Check TaborSegment hashes\nseg1 = TaborSegment.from_sampled(ch_a=sampled_a1, ch_b=None, marker_a=None, marker_b=None)\nseg2 = TaborSegment.from_sampled(ch_a=sampled_a2, ch_b=None, marker_a=None, marker_b=None)\nseg3 = TaborSegment.from_sampled(ch_a=sampled_a3, ch_b=None, marker_a=None, marker_b=None)\n\nprint(f\"seg1._hash: {seg1._hash}\")\nprint(f\"seg2._hash: {seg2._hash}\")\nprint(f\"seg3._hash: {seg3._hash}\")\n\nprint(f\"seg1 == seg2: {seg1 == seg2}\")\nprint(f\"seg1 == seg3: {seg1 == seg3}\")\nEOF","path":null,"exit_code":1,"stdout_tail":"","stderr_tail":"/qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n/qupulse/qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\nTraceback (most recent call last):\n File \"\", line 9, in \nImportError: cannot import name 'WaveformGenerator' from 'tests.pulses.sequencing_dummies' (/qupulse/tests/pulses/sequencing_dummies.py)\n","stdout_sha256":"c5b522a6eb95f2fb7a0bad36d04fdf91351b6a4e12f9de4f505da617b620e5bd","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-12.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:52:24.366428Z","duration_s":0.771919,"timed_out":false,"image_before":"58a28e67-0e50-4a8d-9c42-bd6871a09208","image_after":"a05dbbaf-3fb2-4aa2-9bfe-a41cd01f67e9","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-13","seq":13,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && grep -n \"class WaveformGenerator\" tests/_program/loop_tests.py","path":null,"exit_code":0,"stdout_tail":"23:class WaveformGenerator:\n","stderr_tail":"","stdout_sha256":"0217093f54a41f42bb690fe1cddb2e48d27a784dbd7c1229415c20ea3a2c681a","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-13.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:52:27.961714Z","duration_s":0.0032779999999999997,"timed_out":false,"image_before":"a05dbbaf-3fb2-4aa2-9bfe-a41cd01f67e9","image_after":"190da7a4-42ee-460e-9f69-863cc4357751","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-14","seq":14,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 << 'EOF'\nimport numpy as np\nfrom qupulse._program.tabor import TaborSegment\nfrom qupulse.program.waveforms import ConstantWaveform, SubsetWaveform\nfrom unittest import mock\nfrom qupulse.utils.types import TimeType, FrozenDict\nfrom qupulse.parameter_scope import DictScope\nfrom qupulse.expressions import ExpressionScalar\nfrom qupulse.program.loop import Loop\nfrom tests._program.loop_tests import WaveformGenerator, LoopTests\n\nwaveform_data_generator = __import__('itertools').cycle([np.linspace(-0.5, 0.5, num=192),\n np.concatenate((np.linspace(-0.5, 0.5, num=96),\n np.linspace(0.5, -0.5, num=96))),\n -0.5*np.cos(np.linspace(0, 2*np.pi, num=192))])\n\nwaveform_data_generator2 = __import__('itertools').cycle([ConstantWaveform(duration=2, amplitude=0.1, channel='A'),\n SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n ),\n ConstantWaveform(duration=1, amplitude=0.2, channel='A')])\n\nroot_loop = LoopTests.get_test_loop(WaveformGenerator(num_channels=2,\n waveform_data_generator=waveform_data_generator2,\n duration_generator=__import__('itertools').repeat(1)))\n\n# Let's manually check the waveforms\nwf1 = ConstantWaveform(duration=2, amplitude=0.1, channel='A')\nwf2 = SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n)\nwf3 = ConstantWaveform(duration=1, amplitude=0.2, channel='A')\n\nprint(f\"wf1 duration: {wf1.duration}\")\nprint(f\"wf2 duration: {wf2.duration}\")\nprint(f\"wf3 duration: {wf3.duration}\")\n\n# Check compare_key\nprint(f\"wf1.compare_key: {wf1.compare_key}\")\nprint(f\"wf2.compare_key: {wf2.compare_key}\")\nprint(f\"wf3.compare_key: {wf3.compare_key}\")\n\n# Check if they have the same data when sampled\nt = np.array([0, 1, 2, 3, 4, 5]) # simple times\nsampled_a1 = wf1.unsafe_sample('A', t)\nsampled_a2 = wf2.unsafe_sample('A', t)\nsampled_a3 = wf3.unsafe_sample('A', t)\n\nprint(f\"wf1 sampled A: {sampled_a1}\")\nprint(f\"wf2 sampled A: {sampled_a2}\")\nprint(f\"wf3 sampled A: {sampled_a3}\")\n\nprint(f\"wf1 sampled A == wf2 sampled A: {np.array_equal(sampled_a1, sampled_a2)}\")\nprint(f\"wf1 sampled A == wf3 sampled A: {np.array_equal(sampled_a1, sampled_a3)}\")\n\n# Check TaborSegment hashes\nseg1 = TaborSegment.from_sampled(ch_a=sampled_a1, ch_b=None, marker_a=None, marker_b=None)\nseg2 = TaborSegment.from_sampled(ch_a=sampled_a2, ch_b=None, marker_a=None, marker_b=None)\nseg3 = TaborSegment.from_sampled(ch_a=sampled_a3, ch_b=None, marker_a=None, marker_b=None)\n\nprint(f\"seg1._hash: {seg1._hash}\")\nprint(f\"seg2._hash: {seg2._hash}\")\nprint(f\"seg3._hash: {seg3._hash}\")\n\nprint(f\"seg1 == seg2: {seg1 == seg2}\")\nprint(f\"seg1 == seg3: {seg1 == seg3}\")\nEOF","path":null,"exit_code":1,"stdout_tail":"wf1 duration: 2/1\nwf2 duration: 2/1\nwf3 duration: 1/1\nwf1.compare_key: (TimeType(2, 1), 0.1, 'A')\nwf2.compare_key: (frozenset({'A'}), MultiChannelWaveform((ConstantWaveform(duration=TimeType(2, 1), amplitude=0.1, channel='A'), ConstantWaveform(duration=TimeType(2, 1), amplitude=0.2, channel='B'))))\nwf3.compare_key: (TimeType(1, 1), 0.2, 'A')\nwf1 sampled A: [0.1 0.1 0.1 0.1 0.1 0.1]\nwf2 sampled A: [0.1 0.1 0.1 0.1 0.1 0.1]\nwf3 sampled A: [0.2 0.2 0.2 0.2 0.2 0.2]\nwf1 sampled A == wf2 sampled A: True\nwf1 sampled A == wf3 sampled A: False\n","stderr_tail":"/qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n/qupulse/qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\nTraceback (most recent call last):\n File \"\", line 58, in \n File \"/qupulse/qupulse/_program/tabor.py\", line 114, in from_sampled\n assert ch_a.dtype is np.dtype('uint16')\nAssertionError\n","stdout_sha256":"005958ad0cbbfc80d766e8a818c4464cbb6308eaa98c637436411f9178cf1ba0","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-14.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:52:33.181896Z","duration_s":0.79962,"timed_out":false,"image_before":"190da7a4-42ee-460e-9f69-863cc4357751","image_after":"9d181876-5b78-4cc6-ad7a-7573cc88f722","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-15","seq":15,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 << 'EOF'\nimport numpy as np\nfrom qupulse._program.tabor import TaborSegment\nfrom qupulse.program.waveforms import ConstantWaveform, SubsetWaveform\nfrom qupulse.hardware.util import voltage_to_uint16\n\n# Let's manually check the waveforms\nwf1 = ConstantWaveform(duration=2, amplitude=0.1, channel='A')\nwf2 = SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n)\nwf3 = ConstantWaveform(duration=1, amplitude=0.2, channel='A')\n\n# Check if they have the same data when sampled\nt = np.array([0, 1, 2, 3, 4, 5]) # simple times\nsampled_a1 = wf1.unsafe_sample('A', t)\nsampled_a2 = wf2.unsafe_sample('A', t)\nsampled_a3 = wf3.unsafe_sample('A', t)\n\nprint(f\"wf1 sampled A: {sampled_a1}\")\nprint(f\"wf2 sampled A: {sampled_a2}\")\nprint(f\"wf3 sampled A: {sampled_a3}\")\n\nprint(f\"wf1 sampled A == wf2 sampled A: {np.array_equal(sampled_a1, sampled_a2)}\")\nprint(f\"wf1 sampled A == wf3 sampled A: {np.array_equal(sampled_a1, sampled_a3)}\")\n\n# Convert to uint16\nuint16_a1 = voltage_to_uint16(sampled_a1, 1., 0., 14)\nuint16_a2 = voltage_to_uint16(sampled_a2, 1., 0., 14)\nuint16_a3 = voltage_to_uint16(sampled_a3, 1., 0., 14)\n\nprint(f\"uint16_a1: {uint16_a1}\")\nprint(f\"uint16_a2: {uint16_a2}\")\nprint(f\"uint16_a3: {uint16_a3}\")\n\n# Check TaborSegment hashes\nseg1 = TaborSegment.from_sampled(ch_a=uint16_a1, ch_b=None, marker_a=None, marker_b=None)\nseg2 = TaborSegment.from_sampled(ch_a=uint16_a2, ch_b=None, marker_a=None, marker_b=None)\nseg3 = TaborSegment.from_sampled(ch_a=uint16_a3, ch_b=None, marker_a=None, marker_b=None)\n\nprint(f\"seg1._hash: {seg1._hash}\")\nprint(f\"seg2._hash: {seg2._hash}\")\nprint(f\"seg3._hash: {seg3._hash}\")\n\nprint(f\"seg1 == seg2: {seg1 == seg2}\")\nprint(f\"seg1 == seg3: {seg1 == seg3}\")\nEOF","path":null,"exit_code":1,"stdout_tail":"wf1 sampled A: [0.1 0.1 0.1 0.1 0.1 0.1]\nwf2 sampled A: [0.1 0.1 0.1 0.1 0.1 0.1]\nwf3 sampled A: [0.2 0.2 0.2 0.2 0.2 0.2]\nwf1 sampled A == wf2 sampled A: True\nwf1 sampled A == wf3 sampled A: False\nuint16_a1: [9011 9011 9011 9011 9011 9011]\nuint16_a2: [9011 9011 9011 9011 9011 9011]\nuint16_a3: [9830 9830 9830 9830 9830 9830]\n","stderr_tail":"/qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n/qupulse/qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\nTraceback (most recent call last):\n File \"\", line 37, in \n File \"/qupulse/qupulse/_program/tabor.py\", line 135, in from_sampled\n assert num_points % cls.QUANTUM == 0\nAssertionError\n","stdout_sha256":"427b0d84c1b5316ea1501c0efd14c63787892b20c939490e363f3544b8a77501","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-15.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:52:38.861220Z","duration_s":0.6914859999999999,"timed_out":false,"image_before":"9d181876-5b78-4cc6-ad7a-7573cc88f722","image_after":"e61df8d1-7899-4d5d-b9d8-00ccca8fee60","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-16","seq":16,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 -m pytest tests/_program/tabor_tests.py::TaborProgramTests::test_calc_sampled_segments_deduplication -xvs 2>&1 | head -50","path":null,"exit_code":0,"stdout_tail":"============================= test session starts ==============================\nplatform linux -- Python 3.10.19, pytest-9.0.2, pluggy-1.6.0 -- /usr/local/bin/python3\ncachedir: .pytest_cache\nbenchmark: 5.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nrootdir: /qupulse\nconfigfile: setup.cfg\nplugins: benchmark-5.2.3\ncollecting ... collected 1 item\n\ntests/_program/tabor_tests.py::TaborProgramTests::test_calc_sampled_segments_deduplication FAILED\n\n=================================== FAILURES ===================================\n__________ TaborProgramTests.test_calc_sampled_segments_deduplication __________\n\nself = \n\n def test_calc_sampled_segments_deduplication(self):\n wf1 = ConstantWaveform(duration=2, amplitude=0.1, channel='A')\n wf2 = SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n )\n wf3 = ConstantWaveform(duration=1, amplitude=0.2, channel='A')\n \n loop = Loop(children=[\n Loop(waveform=wf1),\n Loop(waveform=wf2),\n Loop(waveform=wf3),\n ])\n prog = TaborProgram(loop, self.instr_props, ('A', None), (None, None), **self.program_entry_kwargs)\n sampled, sampled_length = prog.get_sampled_segments()\n self.assertEqual(len(sampled), 2)\n> self.assertEqual([192 * 2, 192], list(sampled_length))\nE AssertionError: Lists differ: [384, 192] != [np.int64(384), np.int64(384), np.int64(384)]\nE \nE First differing element 1:\nE 192\nE np.int64(384)\nE \nE Second list contains 1 additional elements.\nE First extra element 2:\nE np.int64(384)\nE \nE - [384, 192]\nE + [np.int64(384), np.int64(384), np.int64(384)]\n\ntests/_program/tabor_tests.py:400: AssertionError\n=============================== warnings summary ===============================\nqupulse/utils/types.py:36\n /qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n","stderr_tail":"","stdout_sha256":"2fa5264e6ed5b46ee0687b9863fd24dd302c89dbaa45095407e914ea7321548e","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-16.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:52:42.868493Z","duration_s":1.076119,"timed_out":false,"image_before":"e61df8d1-7899-4d5d-b9d8-00ccca8fee60","image_after":"2cee460e-399b-4aeb-8088-415664c5f0d3","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-17","seq":17,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 << 'EOF'\nimport numpy as np\nfrom qupulse._program.tabor import TaborProgram\nfrom unittest import mock\nfrom qupulse.utils.types import TimeType, FrozenDict\nfrom qupulse.parameter_scope import DictScope\nfrom qupulse.expressions import ExpressionScalar\nfrom qupulse.program.loop import Loop\nfrom tests._program.loop_tests import WaveformGenerator, LoopTests\nfrom tests.pulses.sequencing_dummies import ConstantWaveform\n\ninstr_props = None # Will use default\n\nwaveform_data_generator = __import__('itertools').cycle([np.linspace(-0.5, 0.5, num=192),\n np.concatenate((np.linspace(-0.5, 0.5, num=96),\n np.linspace(0.5, -0.5, num=96))),\n -0.5*np.cos(np.linspace(0, 2*np.pi, num=192))])\n\nwaveform_data_generator2 = __import__('itertools').cycle([ConstantWaveform(duration=2, amplitude=0.1, channel='A'),\n SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n ),\n ConstantWaveform(duration=1, amplitude=0.2, channel='A')])\n\nroot_loop = LoopTests.get_test_loop(WaveformGenerator(num_channels=2,\n waveform_data_generator=waveform_data_generator2,\n duration_generator=__import__('itertools').repeat(1)))\n\nprog = TaborProgram(root_loop, instr_props, ('A', None), (None, None), \n amplitudes=(1., 1.),\n offsets=(0., 0.),\n voltage_transformations=(mock.Mock(wraps=lambda x: x),\n mock.Mock(wraps=lambda x: x)),\n sample_rate=TimeType.from_fraction(192, 1),\n mode=None)\n\nsampled, sampled_length = prog.get_sampled_segments()\n\nprint(f\"len(sampled): {len(sampled)}\")\nprint(f\"sampled_length: {sampled_length}\")\nprint(f\"sampled[0]._hash: {sampled[0]._hash}\")\nif len(sampled) > 1:\n print(f\"sampled[1]._hash: {sampled[1]._hash}\")\nif len(sampled) > 2:\n print(f\"sampled[2]._hash: {sampled[2]._hash}\")\n\n# Check if any have the same hash\nfor i in range(len(sampled)):\n for j in range(i+1, len(sampled)):\n if sampled[i]._hash == sampled[j]._hash:\n print(f\"sampled[{i}]._hash == sampled[{j}]._hash\")\nEOF","path":null,"exit_code":1,"stdout_tail":"","stderr_tail":"/qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n/qupulse/qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\nTraceback (most recent call last):\n File \"\", line 9, in \nImportError: cannot import name 'ConstantWaveform' from 'tests.pulses.sequencing_dummies' (/qupulse/tests/pulses/sequencing_dummies.py)\n","stdout_sha256":"4194dd2837e8ba917450d87d634540a510aee6459d2e9452be4d342025f60bf8","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-17.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:52:49.112399Z","duration_s":0.771673,"timed_out":false,"image_before":"2cee460e-399b-4aeb-8088-415664c5f0d3","image_after":"f322b363-151f-43fb-9642-9a44f5c89c04","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-18","seq":18,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 << 'EOF'\nimport numpy as np\nfrom qupulse._program.tabor import TaborProgram\nfrom unittest import mock\nfrom qupulse.utils.types import TimeType, FrozenDict\nfrom qupulse.parameter_scope import DictScope\nfrom qupulse.expressions import ExpressionScalar\nfrom qupulse.program.loop import Loop\nfrom tests._program.loop_tests import WaveformGenerator, LoopTests\nfrom qupulse.program.waveforms import ConstantWaveform\n\ninstr_props = None # Will use default\n\nwaveform_data_generator = __import__('itertools').cycle([np.linspace(-0.5, 0.5, num=192),\n np.concatenate((np.linspace(-0.5, 0.5, num=96),\n np.linspace(0.5, -0.5, num=96))),\n -0.5*np.cos(np.linspace(0, 2*np.pi, num=192))])\n\nwaveform_data_generator2 = __import__('itertools').cycle([ConstantWaveform(duration=2, amplitude=0.1, channel='A'),\n __import__('tests').pulses.sequencing_dummies.SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n ),\n ConstantWaveform(duration=1, amplitude=0.2, channel='A')])\n\nroot_loop = LoopTests.get_test_loop(WaveformGenerator(num_channels=2,\n waveform_data_generator=waveform_data_generator2,\n duration_generator=__import__('itertools').repeat(1)))\n\nprog = TaborProgram(root_loop, instr_props, ('A', None), (None, None), \n amplitudes=(1., 1.),\n offsets=(0., 0.),\n voltage_transformations=(mock.Mock(wraps=lambda x: x),\n mock.Mock(wraps=lambda x: x)),\n sample_rate=TimeType.from_fraction(192, 1),\n mode=None)\n\nsampled, sampled_length = prog.get_sampled_segments()\n\nprint(f\"len(sampled): {len(sampled)}\")\nprint(f\"sampled_length: {sampled_length}\")\nprint(f\"sampled[0]._hash: {sampled[0]._hash}\")\nif len(sampled) > 1:\n print(f\"sampled[1]._hash: {sampled[1]._hash}\")\nif len(sampled) > 2:\n print(f\"sampled[2]._hash: {sampled[2]._hash}\")\n\n# Check if any have the same hash\nfor i in range(len(sampled)):\n for j in range(i+1, len(sampled)):\n if sampled[i]._hash == sampled[j]._hash:\n print(f\"sampled[{i}]._hash == sampled[{j}]._hash\")\nEOF","path":null,"exit_code":1,"stdout_tail":"","stderr_tail":"/qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n/qupulse/qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\nTraceback (most recent call last):\n File \"\", line 19, in \nAttributeError: module 'tests.pulses.sequencing_dummies' has no attribute 'SubsetWaveform'. Did you mean: 'DummyWaveform'?\n","stdout_sha256":"b1fb30a9c726e46409d6742ea1406e7a4db7632193a818e8a2799fba61e89da8","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-18.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:52:54.887814Z","duration_s":0.774286,"timed_out":false,"image_before":"f322b363-151f-43fb-9642-9a44f5c89c04","image_after":"9ad7f3ac-5493-4cf1-b779-37554aedd545","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-19","seq":19,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && grep -rn \"class SubsetWaveform\" --include=\"*.py\"","path":null,"exit_code":0,"stdout_tail":"build/lib/qupulse/program/waveforms.py:961:class SubsetWaveform(Waveform):\nqupulse/program/waveforms.py:961:class SubsetWaveform(Waveform):\ntests/_program/waveforms_tests.py:800:class SubsetWaveformTest(unittest.TestCase):\n","stderr_tail":"","stdout_sha256":"32012cc1f35fa964a41e11f9609bf64ba8331bc85580b670c4a70f694a6552ff","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-19.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:52:58.849749Z","duration_s":0.01218,"timed_out":false,"image_before":"9ad7f3ac-5493-4cf1-b779-37554aedd545","image_after":"fe292d53-8a00-47df-8935-3061a688c366","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-20","seq":20,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 << 'EOF'\nimport numpy as np\nfrom qupulse._program.tabor import TaborProgram\nfrom unittest import mock\nfrom qupulse.utils.types import TimeType, FrozenDict\nfrom qupulse.parameter_scope import DictScope\nfrom qupulse.expressions import ExpressionScalar\nfrom qupulse.program.loop import Loop\nfrom tests._program.loop_tests import WaveformGenerator, LoopTests\nfrom qupulse.program.waveforms import ConstantWaveform, SubsetWaveform\n\ninstr_props = None # Will use default\n\nwaveform_data_generator = __import__('itertools').cycle([np.linspace(-0.5, 0.5, num=192),\n np.concatenate((np.linspace(-0.5, 0.5, num=96),\n np.linspace(0.5, -0.5, num=96))),\n -0.5*np.cos(np.linspace(0, 2*np.pi, num=192))])\n\nwaveform_data_generator2 = __import__('itertools').cycle([ConstantWaveform(duration=2, amplitude=0.1, channel='A'),\n SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n ),\n ConstantWaveform(duration=1, amplitude=0.2, channel='A')])\n\nroot_loop = LoopTests.get_test_loop(WaveformGenerator(num_channels=2,\n waveform_data_generator=waveform_data_generator2,\n duration_generator=__import__('itertools').repeat(1)))\n\nprog = TaborProgram(root_loop, instr_props, ('A', None), (None, None), \n amplitudes=(1., 1.),\n offsets=(0., 0.),\n voltage_transformations=(mock.Mock(wraps=lambda x: x),\n mock.Mock(wraps=lambda x: x)),\n sample_rate=TimeType.from_fraction(192, 1),\n mode=None)\n\nsampled, sampled_length = prog.get_sampled_segments()\n\nprint(f\"len(sampled): {len(sampled)}\")\nprint(f\"sampled_length: {sampled_length}\")\nprint(f\"sampled[0]._hash: {sampled[0]._hash}\")\nif len(sampled) > 1:\n print(f\"sampled[1]._hash: {sampled[1]._hash}\")\nif len(sampled) > 2:\n print(f\"sampled[2]._hash: {sampled[2]._hash}\")\n\n# Check if any have the same hash\nfor i in range(len(sampled)):\n for j in range(i+1, len(sampled)):\n if sampled[i]._hash == sampled[j]._hash:\n print(f\"sampled[{i}]._hash == sampled[{j}]._hash\")\nEOF","path":null,"exit_code":1,"stdout_tail":"","stderr_tail":"/qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n/qupulse/qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\nTraceback (most recent call last):\n File \"\", line 29, in \n File \"/qupulse/qupulse/_program/tabor.py\", line 395, in __init__\n if len(channels) != device_properties['chan_per_part']:\nTypeError: 'NoneType' object is not subscriptable\n","stdout_sha256":"6b31fd51f7c7855e58a8f271964b94a066093f18486c67c98468c35987a6d433","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-20.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:53:03.623897Z","duration_s":0.773058,"timed_out":false,"image_before":"fe292d53-8a00-47df-8935-3061a688c366","image_after":"7de421e5-d5f9-4a3d-bef6-7d163e1227a1","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-21","seq":21,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 -c \"\nimport sys\nsys.path.insert(0, '.')\nfrom tests._program.tabor_tests import TaborProgramTests\nimport unittest\n\n# Create test instance\ntest = TaborProgramTests('test_calc_sampled_segments_deduplication')\n\n# Setup\ntest.setUp()\n\n# Run the test method\ntry:\n test.test_calc_sampled_segments_deduplication()\n print('Test passed!')\nexcept AssertionError as e:\n print(f'Test failed: {e}')\nexcept Exception as e:\n print(f'Error: {e}')\n\" 2>&1","path":null,"exit_code":0,"stdout_tail":"/qupulse/./qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n/qupulse/./qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\nTest failed: Lists differ: [384, 192] != [np.int64(384), np.int64(384), np.int64(384)]\n\nFirst differing element 1:\n192\nnp.int64(384)\n\nSecond list contains 1 additional elements.\nFirst extra element 2:\nnp.int64(384)\n\n- [384, 192]\n+ [np.int64(384), np.int64(384), np.int64(384)]\n","stderr_tail":"","stdout_sha256":"1810106fda8671d1e10f0ce9f3fe3987a2c17adf21c8e66475503a5e70f55d21","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-21.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:53:07.834091Z","duration_s":0.8396399999999999,"timed_out":false,"image_before":"7de421e5-d5f9-4a3d-bef6-7d163e1227a1","image_after":"53c7589a-9fc9-4629-ada0-f79d500a4a54","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-22","seq":22,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && sed -n '466,530p' qupulse/_program/tabor.py","path":null,"exit_code":0,"stdout_tail":" def _calc_sampled_segments(self) -> Tuple[Sequence[TaborSegment], Sequence[int]]:\n \"\"\"\n Returns:\n (segments, segment_lengths)\n \"\"\"\n time_array, segment_lengths = get_sample_times(self._parsed_program.waveforms, self._sample_rate)\n\n if np.any(segment_lengths % 16 > 0) or np.any(segment_lengths < 192):\n raise TaborException('At least one waveform has a length that is smaller 192 or not a multiple of 16')\n\n # Deduplicate segments by their hash to avoid uploading identical waveforms multiple times\n segments = []\n segment_hashes = []\n seen_hash_to_index = {}\n \n for i, waveform in enumerate(self._parsed_program.waveforms):\n t = time_array[:segment_lengths[i]]\n marker_time = t[::2]\n segment_a = self._channel_data(waveform, t, 0)\n segment_b = self._channel_data(waveform, t, 1)\n assert (len(segment_a) == len(t))\n assert (len(segment_b) == len(t))\n marker_a = self._marker_data(waveform, marker_time, 0)\n marker_b = self._marker_data(waveform, marker_time, 1)\n segment = TaborSegment.from_sampled(ch_a=segment_a,\n ch_b=segment_b,\n marker_a=marker_a,\n marker_b=marker_b)\n segment_hash = segment._hash\n if segment_hash not in seen_hash_to_index:\n seen_hash_to_index[segment_hash] = len(segments)\n segments.append(segment)\n segment_hashes.append(segment_hash)\n # If hash already seen, we skip adding the segment to avoid redundancy\n\n # Recalculate segment_lengths to only include unique segments in order of first appearance\n unique_segment_indices = []\n for i, waveform in enumerate(self._parsed_program.waveforms):\n t = time_array[:segment_lengths[i]]\n marker_time = t[::2]\n segment_a = self._channel_data(waveform, t, 0)\n segment_b = self._channel_data(waveform, t, 1)\n marker_a = self._marker_data(waveform, marker_time, 0)\n marker_b = self._marker_data(waveform, marker_time, 1)\n segment = TaborSegment.from_sampled(ch_a=segment_a,\n ch_b=segment_b,\n marker_a=marker_a,\n marker_b=marker_b)\n segment_hash = segment._hash\n if segment_hash in seen_hash_to_index:\n unique_segment_indices.append(seen_hash_to_index[segment_hash])\n else:\n # This case should not happen as we add all hashes above, but handle it just in case\n unique_segment_indices.append(len(segments))\n seen_hash_to_index[segment_hash] = len(segments)\n segments.append(segment)\n segment_hashes.append(segment_hash)\n\n # Build new segment_lengths based on unique segments\n unique_lengths = np.array([segment_lengths[idx] for idx in unique_segment_indices], dtype=np.int64)\n\n return segments, unique_lengths\n\n def setup_single_sequence_mode(self) -> None:\n assert self.program.depth() == 1\n","stderr_tail":"","stdout_sha256":"80554da6d24ca373e913443ad1a8fcf4c815763fad1d150ddfcfa3e9c0988a82","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-22.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:53:11.977918Z","duration_s":0.003098,"timed_out":false,"image_before":"53c7589a-9fc9-4629-ada0-f79d500a4a54","image_after":"de5eb35e-b96c-4830-8e62-1e012cc04546","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-23","seq":23,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 << 'EOF'\n# Let me trace through what's happening\nimport numpy as np\nfrom unittest import mock\nfrom qupulse.utils.types import TimeType\nfrom qupulse.program.loop import Loop\nfrom tests._program.loop_tests import WaveformGenerator, LoopTests\nfrom qupulse.program.waveforms import ConstantWaveform, SubsetWaveform\nfrom qupulse.hardware.util import voltage_to_uint16\n\n# Simulate what the test does\nwf1 = ConstantWaveform(duration=2, amplitude=0.1, channel='A')\nwf2 = SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n)\nwf3 = ConstantWaveform(duration=1, amplitude=0.2, channel='A')\n\nloop = Loop(children=[\n Loop(waveform=wf1),\n Loop(waveform=wf2),\n Loop(waveform=wf3),\n])\n\n# Now let's check what _calc_sampled_segments does internally\nfrom qupulse.utils.types import TimeType\nfrom unittest import mock\n\ninstr_props_dict = {'chan_per_part': 2} # Minimal\n\n# Create a minimal program\nfrom qupulse.program.loop import Loop\nprog_loop = Loop(children=[\n Loop(waveform=ConstantWaveform(duration=2, amplitude=0.1, channel='A')),\n Loop(waveform=SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n )),\n Loop(waveform=ConstantWaveform(duration=1, amplitude=0.2, channel='A')),\n], repetition_count=1)\n\n# Now let's manually call get_sampled_segments\nfrom qupulse.hardware.awgs.tabor import model_properties_dict\ninstr_props = model_properties_dict['WX2184C'].copy()\n\nprog = TaborProgram(prog_loop, instr_props, ('A', None), (None, None), \n amplitudes=(1., 1.),\n offsets=(0., 0.),\n voltage_transformations=(mock.Mock(wraps=lambda x: x),\n mock.Mock(wraps=lambda x: x)),\n sample_rate=TimeType.from_fraction(192, 1),\n mode=None)\n\nsampled, sampled_length = prog.get_sampled_segments()\n\nprint(f\"len(sampled): {len(sampled)}\")\nprint(f\"sampled_length: {sampled_length}\")\nfor i, s in enumerate(sampled):\n print(f\"sampled[{i}]._hash: {s._hash}, num_points: {s.num_points}\")\nEOF","path":null,"exit_code":1,"stdout_tail":"","stderr_tail":"/qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n/qupulse/qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\nTraceback (most recent call last):\n File \"\", line 42, in \nImportError: cannot import name 'model_properties_dict' from 'qupulse.hardware.awgs.tabor' (/qupulse/qupulse/hardware/awgs/tabor.py)\n","stdout_sha256":"348bf983da11cbb5a7281c4794503b2ff4ffdfaa6ca50692375ccbcf2347e8ab","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-23.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:53:16.363312Z","duration_s":0.814793,"timed_out":false,"image_before":"de5eb35e-b96c-4830-8e62-1e012cc04546","image_after":"a18214fc-ded1-4c86-a06b-ed1790a00a4a","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-24","seq":24,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 -c \"\nimport sys\nsys.path.insert(0, '.')\nfrom tests._program.tabor_tests import TaborProgramTests\nimport unittest\n\n# Create test instance\ntest = TaborProgramTests('test_calc_sampled_segments_deduplication')\n\n# Add some debug\nimport qupulse._program.tabor as tabor_module\n\noriginal_calc = tabor_module.TaborProgram._calc_sampled_segments\n\ndef debug_calc(self):\n result = original_calc(self)\n segments, lengths = result\n print(f'DEBUG: _calc_sampled_segments returned {len(segments)} segments')\n for i, s in enumerate(segments):\n print(f' segment[{i}]._hash={s._hash}, num_points={s.num_points}')\n print(f'DEBUG: lengths={lengths}')\n return result\n\ntabor_module.TaborProgram._calc_sampled_segments = debug_calc\n\n# Setup\ntest.setUp()\n\n# Run the test method\ntry:\n test.test_calc_sampled_segments_deduplication()\n print('Test passed!')\nexcept AssertionError as e:\n print(f'Test failed: {e}')\nexcept Exception as e:\n print(f'Error: {e}')\n\" 2>&1","path":null,"exit_code":0,"stdout_tail":"/qupulse/./qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n/qupulse/./qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\nDEBUG: _calc_sampled_segments returned 2 segments\n segment[0]._hash=-1839294593537681992, num_points=384\n segment[1]._hash=-6272439306055500951, num_points=192\nDEBUG: lengths=[384 384 384]\nTest failed: Lists differ: [384, 192] != [np.int64(384), np.int64(384), np.int64(384)]\n\nFirst differing element 1:\n192\nnp.int64(384)\n\nSecond list contains 1 additional elements.\nFirst extra element 2:\nnp.int64(384)\n\n- [384, 192]\n+ [np.int64(384), np.int64(384), np.int64(384)]\n","stderr_tail":"","stdout_sha256":"08aa804fa613dd2d6cb82f51bf34d78a262516ebc66df4003eb73fc5f47f6bfe","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-24.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:53:20.947442Z","duration_s":0.850516,"timed_out":false,"image_before":"a18214fc-ded1-4c86-a06b-ed1790a00a4a","image_after":"eacb2bf7-ea54-4ea5-a2a9-64acf6ae0d20","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-25","seq":25,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 -c \"\nimport sys\nsys.path.insert(0, '.')\nfrom tests._program.tabor_tests import TaborProgramTests\nimport unittest\nfrom unittest import mock\nfrom qupulse.utils.types import TimeType\n\n# Create test instance\ntest = TaborProgramTests('test_calc_sampled_segments_deduplication')\ntest.setUp()\n\n# Access the program directly\nloop = test.root_loop.children # This might not be right\n\n# Let me just check what the test creates\nprint('Testing wf1 and wf2 directly...')\nfrom qupulse.program.waveforms import ConstantWaveform, SubsetWaveform\n\nwf1 = ConstantWaveform(duration=2, amplitude=0.1, channel='A')\nwf2 = SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n)\nwf3 = ConstantWaveform(duration=1, amplitude=0.2, channel='A')\n\n# Check compare_key\nprint(f'wf1.compare_key: {wf1.compare_key}')\nprint(f'wf2.compare_key: {wf2.compare_key}')\nprint(f'wf3.compare_key: {wf3.compare_key}')\n\n# Sample them\nt = [0, 1, 2, 3, 4, 5] # 6 points for duration 2 with sample rate 192/1 -> 192 samples\nfrom qupulse.hardware.util import voltage_to_uint16\nsampled_a1 = voltage_to_uint16(wf1.unsafe_sample('A', t), 1., 0., 14)\nsampled_a2 = voltage_to_uint16(wf2.unsafe_sample('A', t), 1., 0., 14)\nsampled_a3 = voltage_to_uint16(wf3.unsafe_sample('A', 6), 1., 0., 14) # duration 1\n\nprint(f'sampled_a1: {sampled_a1}')\nprint(f'sampled_a2: {sampled_a2}')\nprint(f'sampled_a3: {sampled_a3}')\nprint(f'sampled_a1 == sampled_a2: {np.array_equal(sampled_a1, sampled_a2)}')\nprint(f'sampled_a1 == sampled_a3: {np.array_equal(sampled_a1, sampled_a3)}')\n\n# Now create TaborSegments\nfrom qupulse._program.tabor import TaborSegment\nseg1 = TaborSegment.from_sampled(ch_a=sampled_a1, ch_b=None, marker_a=None, marker_b=None)\nseg2 = TaborSegment.from_sampled(ch_a=sampled_a2, ch_b=None, marker_a=None, marker_b=None)\nseg3 = TaborSegment.from_sampled(ch_a=sampled_a3, ch_b=None, marker_a=None, marker_b=None)\n\nprint(f'seg1._hash: {seg1._hash}')\nprint(f'seg2._hash: {seg2._hash}')\nprint(f'seg3._hash: {seg3._hash}')\nprint(f'seg1 == seg2: {seg1 == seg2}')\nprint(f'seg1 == seg3: {seg1 == seg3}')\n\" 2>&1","path":null,"exit_code":1,"stdout_tail":"/qupulse/./qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n/qupulse/./qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\nTraceback (most recent call last):\n File \"\", line 42, in \nNameError: name 'np' is not defined\nTesting wf1 and wf2 directly...\nwf1.compare_key: (TimeType(2, 1), 0.1, 'A')\nwf2.compare_key: (frozenset({'A'}), MultiChannelWaveform((ConstantWaveform(duration=TimeType(2, 1), amplitude=0.1, channel='A'), ConstantWaveform(duration=TimeType(2, 1), amplitude=0.2, channel='B'))))\nwf3.compare_key: (TimeType(1, 1), 0.2, 'A')\nsampled_a1: [9011 9011 9011 9011 9011 9011]\nsampled_a2: [9011 9011 9011 9011 9011 9011]\nsampled_a3: 9830\n","stderr_tail":"","stdout_sha256":"185b1518f59ddfed0eb686b8b5fadeeceb1c4195257bcef960565614fb5049ef","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-25.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:53:29.558192Z","duration_s":0.8169379999999999,"timed_out":false,"image_before":"eacb2bf7-ea54-4ea5-a2a9-64acf6ae0d20","image_after":"5f1a31e8-082b-48dc-a3ca-b6600aad77c3","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-26","seq":26,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 -c \"\nimport numpy as np\nfrom qupulse._program.tabor import TaborSegment\nfrom qupulse.hardware.util import voltage_to_uint16\nfrom qupulse.program.waveforms import ConstantWaveform, SubsetWaveform\n\nwf1 = ConstantWaveform(duration=2, amplitude=0.1, channel='A')\nwf2 = SubsetWaveform(\n ConstantWaveform.from_mapping(duration=2, constant_values={'A': 0.1, 'B': 0.2}),\n {'A'}\n)\n\n# Sample them with proper times\n# For duration 2 with sample_rate 192, we get 192 samples\nt = np.linspace(0, 2, 192) # 192 samples over 2 time units\nsampled_a1 = voltage_to_uint16(wf1.unsafe_sample('A', t), 1., 0., 14)\nsampled_a2 = voltage_to_uint16(wf2.unsafe_sample('A', t), 1., 0., 14)\n\nprint(f'sampled_a1 shape: {sampled_a1.shape}')\nprint(f'sampled_a2 shape: {sampled_a2.shape}')\nprint(f'sampled_a1[:5]: {sampled_a1[:5]}')\nprint(f'sampled_a2[:5]: {sampled_a2[:5]}')\nprint(f'sampled_a1 == sampled_a2: {np.array_equal(sampled_a1, sampled_a2)}')\n\n# Create TaborSegments\nseg1 = TaborSegment.from_sampled(ch_a=sampled_a1, ch_b=None, marker_a=None, marker_b=None)\nseg2 = TaborSegment.from_sampled(ch_a=sampled_a2, ch_b=None, marker_a=None, marker_b=None)\n\nprint(f'seg1._hash: {seg1._hash}')\nprint(f'seg2._hash: {seg2._hash}')\nprint(f'seg1 == seg2: {seg1 == seg2}')\nprint(f'seg1._hash == seg2._hash: {seg1._hash == seg2._hash}')\n\" 2>&1","path":null,"exit_code":0,"stdout_tail":"/qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n/qupulse/qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\nsampled_a1 shape: (192,)\nsampled_a2 shape: (192,)\nsampled_a1[:5]: [9011 9011 9011 9011 9011]\nsampled_a2[:5]: [9011 9011 9011 9011 9011]\nsampled_a1 == sampled_a2: True\nseg1._hash: 1434597544086541461\nseg2._hash: 1434597544086541461\nseg1 == seg2: True\nseg1._hash == seg2._hash: True\n","stderr_tail":"","stdout_sha256":"32ae9cf7f089dc2d89cfede878b8e5cf7dd9da4e4e8923e0221d9ac4da0d2874","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-26.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:53:36.664789Z","duration_s":0.6661630000000001,"timed_out":false,"image_before":"5f1a31e8-082b-48dc-a3ca-b6600aad77c3","image_after":"9fd96578-2cc0-46a7-98a2-be1ab97197fc","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-27","seq":27,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 -c \"\nimport sys\nsys.path.insert(0, '.')\nfrom tests._program.tabor_tests import TaborProgramTests\nimport unittest\nfrom unittest import mock\nfrom qupulse.utils.types import TimeType\n\n# Create test instance\ntest = TaborProgramTests('test_calc_sampled_segments_deduplication')\ntest.setUp()\n\n# Let me patch _calc_sampled_segments to add debug\nimport qupulse._program.tabor as tabor_module\n\noriginal_calc = tabor_module.TaborProgram._calc_sampled_segments\n\ndef debug_calc(self):\n result = original_calc(self)\n segments, lengths = result\n print(f'DEBUG: _calc_sampled_segments returned {len(segments)} segments')\n for i, s in enumerate(segments):\n print(f' segment[{i}]._hash={s._hash}, num_points={s.num_points}')\n print(f'DEBUG: lengths={lengths}')\n return result\n\ntabor_module.TaborProgram._calc_sampled_segments = debug_calc\n\n# Run the test method\ntry:\n test.test_calc_sampled_segments_deduplication()\n print('Test passed!')\nexcept AssertionError as e:\n print(f'Test failed: {e}')\nexcept Exception as e:\n print(f'Error: {e}')\n import traceback\n traceback.print_exc()\n\" 2>&1","path":null,"exit_code":0,"stdout_tail":"/qupulse/./qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n/qupulse/./qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\nDEBUG: _calc_sampled_segments returned 2 segments\n segment[0]._hash=-5292041218705340012, num_points=384\n segment[1]._hash=8308153783595188890, num_points=192\nDEBUG: lengths=[384 384 384]\nTest failed: Lists differ: [384, 192] != [np.int64(384), np.int64(384), np.int64(384)]\n\nFirst differing element 1:\n192\nnp.int64(384)\n\nSecond list contains 1 additional elements.\nFirst extra element 2:\nnp.int64(384)\n\n- [384, 192]\n+ [np.int64(384), np.int64(384), np.int64(384)]\n","stderr_tail":"","stdout_sha256":"6e5fc6e1cedfb71d0e1369da19976255cfa2cb44600ba0d4b2feb29c8f6af2b6","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-27.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:53:40.658444Z","duration_s":0.817373,"timed_out":false,"image_before":"9fd96578-2cc0-46a7-98a2-be1ab97197fc","image_after":"ef541c3b-3281-4bfd-aed3-8082b1d1a4a9","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-28","seq":28,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 << 'EOF'\n# Let me rewrite the _calc_sampled_segments function more carefully\n\nimport numpy as np\nfrom typing import Sequence, Tuple\n\n# Simulated function to understand the flow\ndef test_dedup():\n # Simulate segment_lengths and waveforms\n segment_lengths = np.array([384, 384, 192]) # wf1, wf2, wf3\n \n # Simulate hashes (in reality these would be computed from the segments)\n # For the test case, wf1 and wf2 should have the same hash, wf3 different\n segment_hashes = np.array([1, 1, 2]) # hash 1 for wf1 and wf2, hash 2 for wf3\n \n # Deduplicate\n seen_hash_to_index = {}\n segments = []\n unique_segment_indices = []\n \n for i, (hash_val, seg_len) in enumerate(zip(segment_hashes, segment_lengths)):\n if hash_val not in seen_hash_to_index:\n seen_hash_to_index[hash_val] = len(segments)\n segments.append(f\"segment_{i}\") # placeholder\n unique_segment_indices.append(seen_hash_to_index[hash_val])\n \n print(f\"seen_hash_to_index: {seen_hash_to_index}\")\n print(f\"segments: {segments}\")\n print(f\"unique_segment_indices: {unique_segment_indices}\")\n \n # Build unique lengths\n unique_lengths = np.array([segment_lengths[idx] for idx in unique_segment_indices])\n # Wait, this would give [384, 384, 192] which is wrong\n \n # Actually we want unique lengths in order of first appearance\n # unique_lengths should be [384, 192] - the first occurrence of each unique segment\n \n # Let me redo this\n unique_lengths_dict = {}\n for i, (hash_val, seg_len) in enumerate(zip(segment_hashes, segment_lengths)):\n if hash_val not in unique_lengths_dict:\n unique_lengths_dict[hash_val] = seg_len\n \n # Now get unique lengths in order of first appearance\n unique_lengths_ordered = [unique_lengths_dict[hash_val] for hash_val in segment_hashes if hash_val in unique_lengths_dict]\n # But this might give us duplicates...\n \n # Better approach: iterate through and only add if not already added\n unique_lengths_final = []\n seen_in_order = set()\n for hash_val in segment_hashes:\n if hash_val not in seen_in_order:\n unique_lengths_final.append(unique_lengths_dict[hash_val])\n seen_in_order.add(hash_val)\n \n print(f\"unique_lengths_dict: {unique_lengths_dict}\")\n print(f\"unique_lengths_final: {unique_lengths_final}\")\n\ntest_dedup()\nEOF","path":null,"exit_code":0,"stdout_tail":"seen_hash_to_index: {np.int64(1): 0, np.int64(2): 1}\nsegments: ['segment_0', 'segment_2']\nunique_segment_indices: [0, 0, 1]\nunique_lengths_dict: {np.int64(1): np.int64(384), np.int64(2): np.int64(192)}\nunique_lengths_final: [np.int64(384), np.int64(192)]\n","stderr_tail":"","stdout_sha256":"03209640896eb20672d02323dbe971f3ef10079a2374db45660f6db4e2de1cd8","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-28.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:53:49.465342Z","duration_s":0.372362,"timed_out":false,"image_before":"ef541c3b-3281-4bfd-aed3-8082b1d1a4a9","image_after":"7d00b0fd-42a7-4188-8037-2cb471247a5c","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-29","seq":29,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 << 'PYEOF'\n# Read the current file\nwith open('qupulse/_program/tabor.py', 'r') as f:\n content = f.read()\n\n# Define the new function\nnew_func = ''' def _calc_sampled_segments(self) -> Tuple[Sequence[TaborSegment], Sequence[int]]:\n \\\"\\\"\\\"\n Returns:\n (segments, segment_lengths)\n \\\"\\\"\\\"\n time_array, segment_lengths = get_sample_times(self._parsed_program.waveforms, self._sample_rate)\n\n if np.any(segment_lengths % 16 > 0) or np.any(segment_lengths < 192):\n raise TaborException('At least one waveform has a length that is smaller 192 or not a multiple of 16')\n\n # Deduplicate segments by their hash to avoid uploading identical waveforms multiple times\n segments = []\n seen_hash_to_index = {} # maps segment hash to index in segments list\n unique_lengths_dict = {} # maps segment hash to its length (first occurrence)\n \n for i, waveform in enumerate(self._parsed_program.waveforms):\n t = time_array[:segment_lengths[i]]\n marker_time = t[::2]\n segment_a = self._channel_data(waveform, t, 0)\n segment_b = self._channel_data(waveform, t, 1)\n assert (len(segment_a) == len(t))\n assert (len(segment_b) == len(t))\n marker_a = self._marker_data(waveform, marker_time, 0)\n marker_b = self._marker_data(waveform, marker_time, 1)\n segment = TaborSegment.from_sampled(ch_a=segment_a,\n ch_b=segment_b,\n marker_a=marker_a,\n marker_b=marker_b)\n segment_hash = segment._hash\n segment_len = segment_lengths[i]\n \n if segment_hash not in seen_hash_to_index:\n seen_hash_to_index[segment_hash] = len(segments)\n unique_lengths_dict[segment_hash] = segment_len\n segments.append(segment)\n \n # Build unique lengths in order of first appearance\n unique_lengths = []\n seen_in_order = set()\n for hash_val in [seg._hash for seg in segments]: # iterate through unique segments\n if hash_val not in seen_in_order:\n unique_lengths.append(unique_lengths_dict[hash_val])\n seen_in_order.add(hash_val)\n \n # Wait, this approach won't work because we need to map original indices to unique indices\n # Let me rethink this...\n \n # Actually, we need to return segments and lengths that correspond 1:1\n # The lengths should be the lengths of the unique segments in order\n \n return segments, np.array(unique_lengths, dtype=np.int64)\n'''\n\n# Find and replace the function\nimport re\n# Match the function definition and body\npattern = r' def _calc_sampled_segments\\(self\\) -> Tuple\\[Sequence\\[TaborSegment\\], Sequence\\[int\\]\\]:.*?return segments, unique_lengths'\n\n# Actually, let me just replace the specific lines\n# Let me find the exact location and replace\n\n# First, let me just rewrite the whole function section\nlines = content.split('\\n')\nnew_lines = []\n\ni = 0\nwhile i < len(lines):\n if i > 465 and i < 492 and 'def _calc_sampled_segments' in lines[i]:\n # Replace from here to the end of the function\n new_lines.append(lines[i]) # def line\n i += 1\n # Skip until we hit the return statement\n while i < len(lines) and 'return segments, unique_lengths' not in lines[i]:\n # Skip lines that are part of the old function\n if i < len(lines) and (lines[i].startswith(' ') or lines[i].startswith(' ')):\n i += 1\n else:\n break\n # Now add the new function body\n new_func_lines = new_func.strip().split('\\n')\n # Remove the first line (def) since we already added it\n new_lines.extend(new_func_lines[1:])\n # Skip the old return line\n while i < len(lines) and 'return segments, unique_lengths' not in lines[i]:\n i += 1\n if i < len(lines):\n i += 1 # skip the return line\n else:\n new_lines.append(lines[i])\n i += 1\n\n# Write back\nwith open('qupulse/_program/tabor.py', 'w') as f:\n f.write('\\n'.join(new_lines))\n\nprint(\"Replacement done\")\nPYEOF","path":null,"exit_code":0,"stdout_tail":"Replacement done\n","stderr_tail":"","stdout_sha256":"dc4ff6a88225a148a4870b6224b325edb872d7a19c13fcb40f17595c7a217b65","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-29.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:53:56.393730Z","duration_s":0.018367,"timed_out":false,"image_before":"7d00b0fd-42a7-4188-8037-2cb471247a5c","image_after":"0e32524c-dd33-4d78-a30b-215199464688","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-30","seq":30,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 << 'EOF'\nwith open('qupulse/_program/tabor.py', 'r') as f:\n content = f.read()\n\n# Find the function and replace it\nold_func_start = content.find(' def _calc_sampled_segments(self) -> Tuple[Sequence[TaborSegment], Sequence[int]]:')\nold_func_end = content.find(' return segments, unique_lengths', old_func_start)\n\nif old_func_start == -1 or old_func_end == -1:\n print(\"Could not find function boundaries\")\n # Let's debug\n import re\n match = re.search(r'def _calc_sampled_segments.*?(?=\\n def |\\Z)', content, re.DOTALL)\n if match:\n print(\"Found:\", match.group()[:500])\n else:\n print(\"No match\")\nelse:\n # New function\n new_func = ''' def _calc_sampled_segments(self) -> Tuple[Sequence[TaborSegment], Sequence[int]]:\n \\\"\\\"\\\"\n Returns:\n (segments, segment_lengths)\n \\\"\\\"\\\"\n time_array, segment_lengths = get_sample_times(self._parsed_program.waveforms, self._sample_rate)\n\n if np.any(segment_lengths % 16 > 0) or np.any(segment_lengths < 192):\n raise TaborException('At least one waveform has a length that is smaller 192 or not a multiple of 16')\n\n # Deduplicate segments by their hash to avoid uploading identical waveforms multiple times\n segments = []\n seen_hash_to_index = {} # maps segment hash to index in segments list\n unique_lengths_dict = {} # maps segment hash to its length (first occurrence)\n \n for i, waveform in enumerate(self._parsed_program.waveforms):\n t = time_array[:segment_lengths[i]]\n marker_time = t[::2]\n segment_a = self._channel_data(waveform, t, 0)\n segment_b = self._channel_data(waveform, t, 1)\n assert (len(segment_a) == len(t))\n assert (len(segment_b) == len(t))\n marker_a = self._marker_data(waveform, marker_time, 0)\n marker_b = self._marker_data(waveform, marker_time, 1)\n segment = TaborSegment.from_sampled(ch_a=segment_a,\n ch_b=segment_b,\n marker_a=marker_a,\n marker_b=marker_b)\n segment_hash = segment._hash\n segment_len = segment_lengths[i]\n \n if segment_hash not in seen_hash_to_index:\n seen_hash_to_index[segment_hash] = len(segments)\n unique_lengths_dict[segment_hash] = segment_len\n segments.append(segment)\n \n # Build unique lengths in order of first appearance among unique segments\n unique_lengths = []\n seen_in_order = set()\n for segment in segments:\n h = segment._hash\n if h not in seen_in_order:\n unique_lengths.append(unique_lengths_dict[h])\n seen_in_order.add(h)\n \n return segments, np.array(unique_lengths, dtype=np.int64)\n'''\n \n # Replace\n new_content = content[:old_func_start] + new_func + content[old_func_end + len(' return segments, unique_lengths'):]\n \n with open('qupulse/_program/tabor.py', 'w') as f:\n f.write(new_content)\n \n print(\"Replacement done\")\nEOF","path":null,"exit_code":0,"stdout_tail":"Replacement done\n","stderr_tail":"","stdout_sha256":"dc4ff6a88225a148a4870b6224b325edb872d7a19c13fcb40f17595c7a217b65","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-30.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:54:01.391434Z","duration_s":0.013984,"timed_out":false,"image_before":"0e32524c-dd33-4d78-a30b-215199464688","image_after":"1a9437a6-cf5e-4be7-b2cd-58d77eacfb87","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-31","seq":31,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 -m pytest tests/_program/tabor_tests.py::TaborProgramTests::test_calc_sampled_segments_deduplication -xvs 2>&1","path":null,"exit_code":0,"stdout_tail":"============================= test session starts ==============================\nplatform linux -- Python 3.10.19, pytest-9.0.2, pluggy-1.6.0 -- /usr/local/bin/python3\ncachedir: .pytest_cache\nbenchmark: 5.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nrootdir: /qupulse\nconfigfile: setup.cfg\nplugins: benchmark-5.2.3\ncollecting ... collected 1 item\n\ntests/_program/tabor_tests.py::TaborProgramTests::test_calc_sampled_segments_deduplication PASSED\n\n=============================== warnings summary ===============================\nqupulse/utils/types.py:36\n /qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n\nqupulse/utils/sympy.py:26\n /qupulse/qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n======================== 1 passed, 2 warnings in 0.74s =========================\n","stderr_tail":"","stdout_sha256":"253f2d130bbfd418f803d690376c092b085c7925b7b80ac1ef3305d612c3ae70","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-31.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:54:04.072044Z","duration_s":1.07927,"timed_out":false,"image_before":"1a9437a6-cf5e-4be7-b2cd-58d77eacfb87","image_after":"7555971a-c01b-4bfe-9301-84287b66a0e3","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-32","seq":32,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 -m pytest tests/_program/tabor_tests.py -xvs 2>&1 | head -100","path":null,"exit_code":0,"stdout_tail":"============================= test session starts ==============================\nplatform linux -- Python 3.10.19, pytest-9.0.2, pluggy-1.6.0 -- /usr/local/bin/python3\ncachedir: .pytest_cache\nbenchmark: 5.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nrootdir: /qupulse\nconfigfile: setup.cfg\nplugins: benchmark-5.2.3\ncollecting ... collected 48 items\n\ntests/_program/tabor_tests.py::LoopTests::test_cleanup PASSED\ntests/_program/tabor_tests.py::LoopTests::test_cleanup_single_rep PASSED\ntests/_program/tabor_tests.py::LoopTests::test_cleanup_warnings PASSED\ntests/_program/tabor_tests.py::LoopTests::test_compare_key PASSED\ntests/_program/tabor_tests.py::LoopTests::test_depth PASSED\ntests/_program/tabor_tests.py::LoopTests::test_flatten_and_balance PASSED\ntests/_program/tabor_tests.py::LoopTests::test_flatten_and_balance_comparison_based PASSED\ntests/_program/tabor_tests.py::LoopTests::test_get_measurement_windows PASSED\ntests/_program/tabor_tests.py::LoopTests::test_is_balanced PASSED\ntests/_program/tabor_tests.py::LoopTests::test_is_leaf PASSED\ntests/_program/tabor_tests.py::LoopTests::test_repr PASSED\ntests/_program/tabor_tests.py::LoopTests::test_str PASSED\ntests/_program/tabor_tests.py::LoopTests::test_unroll PASSED\ntests/_program/tabor_tests.py::PlottableProgramTests::test_builtint_conversion PASSED\ntests/_program/tabor_tests.py::PlottableProgramTests::test_eq PASSED\ntests/_program/tabor_tests.py::PlottableProgramTests::test_from_read_data PASSED\ntests/_program/tabor_tests.py::PlottableProgramTests::test_get_advanced_sequence_table PASSED\ntests/_program/tabor_tests.py::PlottableProgramTests::test_get_as_single_waveform PASSED\ntests/_program/tabor_tests.py::PlottableProgramTests::test_get_repetitions PASSED\ntests/_program/tabor_tests.py::PlottableProgramTests::test_get_waveforms PASSED\ntests/_program/tabor_tests.py::PlottableProgramTests::test_init PASSED\ntests/_program/tabor_tests.py::PlottableProgramTests::test_iter PASSED\ntests/_program/tabor_tests.py::TaborProgramTests::test_advanced_sequence_exceptions PASSED\ntests/_program/tabor_tests.py::TaborProgramTests::test_calc_sampled_segments_deduplication PASSED\ntests/_program/tabor_tests.py::TaborProgramTests::test_depth_0_single_waveform PASSED\ntests/_program/tabor_tests.py::TaborProgramTests::test_depth_1_advanced_sequence PASSED\ntests/_program/tabor_tests.py::TaborProgramTests::test_depth_1_advanced_sequence_unroll PASSED\ntests/_program/tabor_tests.py::TaborProgramTests::test_depth_1_single_sequence PASSED\ntests/_program/tabor_tests.py::TaborProgramTests::test_depth_1_single_sequence_2 PASSED\ntests/_program/tabor_tests.py::TaborProgramTests::test_depth_1_single_waveform PASSED\ntests/_program/tabor_tests.py::TaborProgramTests::test_init PASSED\ntests/_program/tabor_tests.py::TaborProgramTests::test_sampled_segments PASSED\ntests/_program/tabor_tests.py::TaborProgramTests::test_update_volatile_parameters_with_depth1 PASSED\ntests/_program/tabor_tests.py::TaborProgramTests::test_update_volatile_parameters_with_depth2 PASSED\ntests/_program/tabor_tests.py::TaborSegmentTests::test_data_a PASSED\ntests/_program/tabor_tests.py::TaborSegmentTests::test_data_b PASSED\ntests/_program/tabor_tests.py::TaborSegmentTests::test_eq PASSED\ntests/_program/tabor_tests.py::TaborSegmentTests::test_from_binary_data PASSED\ntests/_program/tabor_tests.py::TaborSegmentTests::test_from_binary_segment PASSED\ntests/_program/tabor_tests.py::TaborSegmentTests::test_from_sampled PASSED\ntests/_program/tabor_tests.py::TaborSegmentTests::test_num_points PASSED\ntests/_program/tabor_tests.py::TaborMakeCombinedTest::test_empty_segment_list PASSED\ntests/_program/tabor_tests.py::TaborMakeCombinedTest::test_make_comb_both PASSED\ntests/_program/tabor_tests.py::TaborMakeCombinedTest::test_make_single_chan PASSED\ntests/_program/tabor_tests.py::TaborMakeCombinedPyTaborCompareTest::test_empty_segment_list SKIPPED\ntests/_program/tabor_tests.py::TaborMakeCombinedPyTaborCompareTest::test_make_comb_both SKIPPED\ntests/_program/tabor_tests.py::TaborMakeCombinedPyTaborCompareTest::test_make_single_chan SKIPPED\ntests/_program/tabor_tests.py::TaborMemoryManagementTests::test_find_place_for_segments_in_memory PASSED\n\n=============================== warnings summary ===============================\nqupulse/utils/types.py:36\n /qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n\nqupulse/utils/sympy.py:26\n /qupulse/qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n================== 45 passed, 3 skipped, 2 warnings in 0.92s ===================\n","stderr_tail":"","stdout_sha256":"c92f5a2ff8dc509c4448b66c279524addcede967fbd8a0bd79623495c940871c","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-32.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:54:07.826865Z","duration_s":1.191774,"timed_out":false,"image_before":"7555971a-c01b-4bfe-9301-84287b66a0e3","image_after":"56e4dde3-84ea-499f-a783-451cc4285e55","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-33","seq":33,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 -m pytest tests/hardware/tabor_dummy_based_tests.py -xvs 2>&1 | head -80","path":null,"exit_code":0,"stdout_tail":"============================= test session starts ==============================\nplatform linux -- Python 3.10.19, pytest-9.0.2, pluggy-1.6.0 -- /usr/local/bin/python3\ncachedir: .pytest_cache\nbenchmark: 5.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nrootdir: /qupulse\nconfigfile: setup.cfg\nplugins: benchmark-5.2.3\ncollecting ... collected 23 items\n\ntests/hardware/tabor_dummy_based_tests.py::TaborAWGRepresentationDummyBasedTests::test_amplitude PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborAWGRepresentationDummyBasedTests::test_enable PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborAWGRepresentationDummyBasedTests::test_paranoia_level PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborAWGRepresentationDummyBasedTests::test_samplerate PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborAWGRepresentationDummyBasedTests::test_select_marker PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborAWGRepresentationDummyBasedTests::test_send_cmd PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborAWGRepresentationDummyBasedTests::test_trigger PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_amend_segments_flush PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_amend_segments_iter PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_change_armed_program_advanced_sequence PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_change_armed_program_single_sequence PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_change_armed_program_single_waveform PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_cleanup PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_copy PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_execute_multiple_commands_with_config_guard PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_free_program PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_init PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_remove PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_set_volatile_parameters PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_upload PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_upload_exceptions PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_upload_offset_handling PASSED\ntests/hardware/tabor_dummy_based_tests.py::TaborChannelPairTests::test_upload_segment PASSED\n\n=============================== warnings summary ===============================\nqupulse/utils/types.py:36\n /qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n\nqupulse/utils/sympy.py:26\n /qupulse/qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n======================== 23 passed, 2 warnings in 1.31s ========================\n","stderr_tail":"","stdout_sha256":"4c41c1de6386cbb90be89244bb75e010e05a5d1e7338035df95b2abe3c5cc89e","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-33.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:54:11.755320Z","duration_s":1.6473470000000001,"timed_out":false,"image_before":"56e4dde3-84ea-499f-a783-451cc4285e55","image_after":"e65de3b8-88c5-4e49-aaa2-d837aaa28392","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-34","seq":34,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 -m pytest tests/hardware/feature_awg/tabor_tests.py -xvs 2>&1 | head -80","path":null,"exit_code":0,"stdout_tail":"============================= test session starts ==============================\nplatform linux -- Python 3.10.19, pytest-9.0.2, pluggy-1.6.0 -- /usr/local/bin/python3\ncachedir: .pytest_cache\nbenchmark: 5.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nrootdir: /qupulse\nconfigfile: setup.cfg\nplugins: benchmark-5.2.3\ncollecting ... ERROR: file or directory not found: tests/hardware/feature_awg/tabor_tests.py\n\ncollected 0 items\n\n============================ no tests ran in 0.00s =============================\n","stderr_tail":"","stdout_sha256":"8b7be5b7809e1d0cd6d6e43b9def1ce79d7a391f96bcd6d3ba0d7dd685b69ba0","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-34.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:54:15.814771Z","duration_s":0.196432,"timed_out":false,"image_before":"e65de3b8-88c5-4e49-aaa2-d837aaa28392","image_after":"427969ae-04a3-45d9-ab61-5fbbc10d2f40","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-35","seq":35,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && find tests -name \"*tabor*\" -type f","path":null,"exit_code":0,"stdout_tail":"tests/_program/tabor_tests.py\ntests/backward_compatibility/charge_scan_1/tabor_preparation_commands.json\ntests/backward_compatibility/tabor_backward_compatibility_tests.py\ntests/hardware/feature_awg/tabor_new_driver_clock_tests.py\ntests/hardware/feature_awg/tabor_new_driver_exex_test.py\ntests/hardware/feature_awg/tabor_new_driver_simulator_based_tests.py\ntests/hardware/feature_awg/tabor_new_driver_tests.py\ntests/hardware/tabor_clock_tests.py\ntests/hardware/tabor_dummy_based_tests.py\ntests/hardware/tabor_exex_test.py\ntests/hardware/tabor_simulator_based_tests.py\ntests/hardware/tabor_tests.py\n","stderr_tail":"","stdout_sha256":"942d39170a633de7efbfd00537a4af8f322ad8fc0e47317201a366126c5510fb","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-35.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:54:19.670487Z","duration_s":0.003895,"timed_out":false,"image_before":"427969ae-04a3-45d9-ab61-5fbbc10d2f40","image_after":"58fc8272-2310-4ed3-8374-648985d888cc","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-36","seq":36,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 -m pytest tests/hardware/feature_awg/tabor_new_driver_tests.py -xvs 2>&1 | head -80","path":null,"exit_code":0,"stdout_tail":"============================= test session starts ==============================\nplatform linux -- Python 3.10.19, pytest-9.0.2, pluggy-1.6.0 -- /usr/local/bin/python3\ncachedir: .pytest_cache\nbenchmark: 5.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nrootdir: /qupulse\nconfigfile: setup.cfg\nplugins: benchmark-5.2.3\ncollecting ... collected 1 item\n\ntests/hardware/feature_awg/tabor_new_driver_tests.py::ConfigurationGuardTest::test_config_guard PASSED\n\n=============================== warnings summary ===============================\nqupulse/utils/types.py:36\n /qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n\nqupulse/utils/sympy.py:26\n /qupulse/qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n======================== 1 passed, 2 warnings in 0.76s =========================\n","stderr_tail":"","stdout_sha256":"42085d913a881df8cd7318bc13588ff0906e62c7a25ca28ef19f318c7644fe28","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-36.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:54:21.689520Z","duration_s":1.0567659999999999,"timed_out":false,"image_before":"58fc8272-2310-4ed3-8374-648985d888cc","image_after":"c50c56dd-0a5d-41b8-99a1-311eaf905696","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-37","seq":37,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && python3 -m pytest tests/hardware/tabor_simulator_based_tests.py -xvs 2>&1 | head -80","path":null,"exit_code":0,"stdout_tail":"============================= test session starts ==============================\nplatform linux -- Python 3.10.19, pytest-9.0.2, pluggy-1.6.0 -- /usr/local/bin/python3\ncachedir: .pytest_cache\nbenchmark: 5.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)\nrootdir: /qupulse\nconfigfile: setup.cfg\nplugins: benchmark-5.2.3\ncollecting ... collected 8 items\n\ntests/hardware/tabor_simulator_based_tests.py::TaborAWGRepresentationTests::test_amplitude SKIPPED\ntests/hardware/tabor_simulator_based_tests.py::TaborAWGRepresentationTests::test_sample_rate SKIPPED\ntests/hardware/tabor_simulator_based_tests.py::TaborAWGRepresentationTests::test_select_channel SKIPPED\ntests/hardware/tabor_simulator_based_tests.py::TaborAWGRepresentationTests::test_select_marker SKIPPED\ntests/hardware/tabor_simulator_based_tests.py::TaborMemoryReadTests::test_read_advanced_sequencer_table SKIPPED\ntests/hardware/tabor_simulator_based_tests.py::TaborMemoryReadTests::test_read_sequence_tables SKIPPED\ntests/hardware/tabor_simulator_based_tests.py::TaborMemoryReadTests::test_read_waveforms SKIPPED\ntests/hardware/tabor_simulator_based_tests.py::TaborMemoryReadTests::test_set_volatile_parameter SKIPPED\n\n=============================== warnings summary ===============================\nqupulse/utils/types.py:36\n /qupulse/qupulse/utils/types.py:36: UserWarning: gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.time_from_float might produce slightly different results\n warnings.warn('gmpy2 not found. Using fractions.Fraction as fallback. Install gmpy2 for better performance.'\n\nqupulse/utils/sympy.py:26\n /qupulse/qupulse/utils/sympy.py:26: UserWarning: scipy is not installed. This reduces the set of available functions to those present in numpy + manually vectorized functions in math.\n warnings.warn('scipy is not installed. This reduces the set of available functions to those present in numpy + '\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n======================== 8 skipped, 2 warnings in 0.72s ========================\n","stderr_tail":"","stdout_sha256":"d17068d5f32573f38a953318239970cbfac7b1b2660d0b46c29ac55b1c594be0","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-37.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:54:25.253800Z","duration_s":1.0426790000000001,"timed_out":false,"image_before":"c50c56dd-0a5d-41b8-99a1-311eaf905696","image_after":"45e09d1e-0cae-4162-86b2-83c84c94a126","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-38","seq":38,"branch_id":"agent1","kind":"command","cmd":"cd /qupulse && sed -n '466,520p' qupulse/_program/tabor.py","path":null,"exit_code":0,"stdout_tail":" def _calc_sampled_segments(self) -> Tuple[Sequence[TaborSegment], Sequence[int]]:\n \"\"\"\n Returns:\n (segments, segment_lengths)\n \"\"\"\n time_array, segment_lengths = get_sample_times(self._parsed_program.waveforms, self._sample_rate)\n\n if np.any(segment_lengths % 16 > 0) or np.any(segment_lengths < 192):\n raise TaborException('At least one waveform has a length that is smaller 192 or not a multiple of 16')\n\n # Deduplicate segments by their hash to avoid uploading identical waveforms multiple times\n segments = []\n seen_hash_to_index = {} # maps segment hash to index in segments list\n unique_lengths_dict = {} # maps segment hash to its length (first occurrence)\n \n for i, waveform in enumerate(self._parsed_program.waveforms):\n t = time_array[:segment_lengths[i]]\n marker_time = t[::2]\n segment_a = self._channel_data(waveform, t, 0)\n segment_b = self._channel_data(waveform, t, 1)\n assert (len(segment_a) == len(t))\n assert (len(segment_b) == len(t))\n marker_a = self._marker_data(waveform, marker_time, 0)\n marker_b = self._marker_data(waveform, marker_time, 1)\n segment = TaborSegment.from_sampled(ch_a=segment_a,\n ch_b=segment_b,\n marker_a=marker_a,\n marker_b=marker_b)\n segment_hash = segment._hash\n segment_len = segment_lengths[i]\n \n if segment_hash not in seen_hash_to_index:\n seen_hash_to_index[segment_hash] = len(segments)\n unique_lengths_dict[segment_hash] = segment_len\n segments.append(segment)\n \n # Build unique lengths in order of first appearance among unique segments\n unique_lengths = []\n seen_in_order = set()\n for segment in segments:\n h = segment._hash\n if h not in seen_in_order:\n unique_lengths.append(unique_lengths_dict[h])\n seen_in_order.add(h)\n \n return segments, np.array(unique_lengths, dtype=np.int64)\n\n\n def setup_single_sequence_mode(self) -> None:\n assert self.program.depth() == 1\n assert self.program.is_balanced()\n self._parsed_program = parse_single_seq_program(program=self.program, used_channels=self._used_channels)\n self._mode = TaborSequencing.SINGLE\n\n def setup_advanced_sequence_mode(self) -> None:\n","stderr_tail":"","stdout_sha256":"5576c5295f59da203e7890a89164166b0202ec9397d2cd43be764c1cf18b835a","log_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/logs/agent1/agent1-38.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T22:54:28.993251Z","duration_s":0.003674,"timed_out":false,"image_before":"45e09d1e-0cae-4162-86b2-83c84c94a126","image_after":"7e653f47-7a5c-4c11-91d9-4286eb4a046c","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-39","seq":39,"branch_id":"agent1","kind":"diff","cmd":"compute patch in executor staging agent1-8ebf829f459d4af88cefd1122b5f2e7b: /opt/homebrew/Cellar/git/2.53.0/bin/git -c core.hooksPath=/dev/null -c core.attributesFile=/dev/null -c diff.external= -c core.quotePath=false add -A && /opt/homebrew/Cellar/git/2.53.0/bin/git -c core.hooksPath=/dev/null -c core.attributesFile=/dev/null -c diff.external= -c core.quotePath=false diff --cached --binary --no-ext-diff --no-textconv --no-renames c8ae55c0565698e465e2e787c87dffeaf5c08851","path":null,"exit_code":0,"stdout_tail":"diff --git a/qupulse/_program/tabor.py b/qupulse/_program/tabor.py\nindex b92c76f..690cfca 100644\n--- a/qupulse/_program/tabor.py\n+++ b/qupulse/_program/tabor.py\n@@ -473,7 +473,11 @@ class TaborProgram(ProgramEntry):\n if np.any(segment_lengths % 16 > 0) or np.any(segment_lengths < 192):\n raise TaborException('At least one waveform has a length that is smaller 192 or not a multiple of 16')\n \n+ # Deduplicate segments by their hash to avoid uploading identical waveforms multiple times\n segments = []\n+ seen_hash_to_index = {} # maps segment hash to index in segments list\n+ unique_lengths_dict = {} # maps segment hash to its length (first occurrence)\n+ \n for i, waveform in enumerate(self._parsed_program.waveforms):\n t = time_array[:segment_lengths[i]]\n marker_time = t[::2]\n@@ -484,11 +488,28 @@ class TaborProgram(ProgramEntry):\n marker_a = self._marker_data(waveform, marker_time, 0)\n marker_b = self._marker_data(waveform, marker_time, 1)\n segment = TaborSegment.from_sampled(ch_a=segment_a,\n- ch_b=segment_b,\n- marker_a=marker_a,\n- marker_b=marker_b)\n- segments.append(segment)\n- return segments, segment_lengths\n+ ch_b=segment_b,\n+ marker_a=marker_a,\n+ marker_b=marker_b)\n+ segment_hash = segment._hash\n+ segment_len = segment_lengths[i]\n+ \n+ if segment_hash not in seen_hash_to_index:\n+ seen_hash_to_index[segment_hash] = len(segments)\n+ unique_lengths_dict[segment_hash] = segment_len\n+ segments.append(segment)\n+ \n+ # Build unique lengths in order of first appearance among unique segments\n+ unique_lengths = []\n+ seen_in_order = set()\n+ for segment in segments:\n+ h = segment._hash\n+ if h not in seen_in_order:\n+ unique_lengths.append(unique_lengths_dict[h])\n+ seen_in_order.add(h)\n+ \n+ return segments, np.array(unique_lengths, dtype=np.int64)\n+\n \n def setup_single_sequence_mode(self) -> None:\n assert self.program.depth() == 1\n","stderr_tail":"","stdout_sha256":"f2f19d468da2a9c5f551ccd0c28cf396b6b82ace72ed61d1236e3e6bfb7a1435","log_path":null,"tree_digest":"fbc08a5d91eeaa3549cf62b54d349b96921f0113b7798c5e055eb8146f9662f3","tree_download_s":3.534813707927242,"started_at":"2026-10-03T22:54:44.106119Z","duration_s":0.04591208300553262,"timed_out":false,"image_before":"7e653f47-7a5c-4c11-91d9-4286eb4a046c","image_after":"7e653f47-7a5c-4c11-91d9-4286eb4a046c","junit":null,"diff":{"files":[{"path":"qupulse/_program/tabor.py","added":26,"deleted":5,"category":"source","status":"modified"}],"patch_sha256":"f2f19d468da2a9c5f551ccd0c28cf396b6b82ace72ed61d1236e3e6bfb7a1435","patch_path":"~/dev/nebius-hackathon/pilot/v2-arm-lightning/qutech__qupulse-797/runs/pilot-qutech__qupulse-797-39cb8d3e9d/artifacts/agent1/agent1-39.patch"},"patch_sha256":"f2f19d468da2a9c5f551ccd0c28cf396b6b82ace72ed61d1236e3e6bfb7a1435","dropped_paths":[],"snapshot_sha":"c8ae55c0565698e465e2e787c87dffeaf5c08851"}